ENERGY MAINTENANCE DEVICE AND ITS ASSOCIATED METHOD

ENERGY MAINTENANCE DEVICE AND ITS ASSOCIATED METHOD

DEVICE AND PROCEDURE FOR THE ACHIEVEMENT MONITORING AND ADJUSTMENT

Systems, apparatus, and methods for load sharing between isochronous generators and battery energy storage systems in islanded microgrids

SYSTEMS, APPARATUS, AND METHODS FOR LOAD SHARING BETWEEN ISOCHRONOUS GENERATORS AND BATTERY ENERGY STORAGE SYSTEMS IN ISLANDED MICROGRIDS Embodiments provide for controlling power production in an islanded microgrid system while maintaining the system frequency and implementing desired load sharing between different types of generating resources and energy storage systems. Embodiments include a controller in communication with the resources to control operation of the resources and operative to determine an optimal load balance based on load and renewable generation forecast information; transmit load and generation schedules to a generation controller that operates the resources in accordance with the schedules; calculate a frequency set point for energy storage resources in the microgrid based on the optimal load balance of the energy storage resources, droop settings, rated power, and the frequency of the energy storage resources; and to control the frequency set point of the energy ...

Audit method and system and supply method and system for PV power injection and consumption in a power grid system

A method of supplying power in a power grid, a system supplying power in a power grid, a method of consolidating power injection and consumption in a power grid, a system for consolidating power injection and consumption in a power grid, a metering system for a power grid, and a metering method for a power grid. The method of supplying power in a power grid, the method comprises determining an initial forward probabilistic power supply time profile of an aggregate intermittent power source connected to the power grid,; determining a target power demand time profile of at least one load connected to the power grid; and associating at least respective portions of the initial forward probabilistic power supply time profile and the target demand time profile such that a probability of supply of power from the intermittent power source to the load meets a specified criterion.

SYSTEM AND METHOD FOR LOAD FORECASTING

SYSTEM AND METHOD FOR LOAD FORECASTING A method of load forecasting for a present day includes obtaining past observed load values of at least three earlier days and identifying a relationship between the present day's load forecast and the past observed load values including unknown weights associated with the past observed load values. The values of unknown weights are determined by comparing at least one previous day's load forecast with the observed load value of the at least one previous day. The determined weight values are then used in the relationship between the present day's load forecast and the past observed load values to forecast the present day's load.

A CELLULAR MINIGRID

A system (1) for transferring a resource within an area (3) having a plurality of regions (5), the system (1) comprising: determining means (15) operable to determine whether any one or more of the regions (5) requires an amount of the resource; requesting means (15) operable to issue a request to at least one of the regions (5) for the amount of the resource; and transferring means (13) operable to transfer the resource from the at least one of the regions (5) to the any one or more of the regions (5).

ELECTRICAL POWER MANAGEMENT

A method includes a power supply system receiving a first request for a first quantity of power for a first time period from a first unit. The system generates a first quote based on an available power generation capacity, environmental factors and a forecasted level of power consumption. The system transmits the first quote to the first unit. The system receives a second request for a second quantity of power for a second time period. The system generates a second quote based on the same factors as the first quote. The system transmits the second quote to the second unit. The value of the first quote and the value of the second quote are set to discourage demand in a first mode and to encourage demand in a second mode to maximize efficient operating levels of the power generation sources in both the first mode and the second mode.

DETERMINING A CHARACTERISTIC OF AN INERTIAL CONTRIBUTION TO AN ELECTRIC POWER GRID

Methods, and apparatus for determining a characteristic of an inertial contribution to an electrical power grid are described. A change in inertia in the electrical power grid based on one or more inertia measurements performed in a first time period is determined. On the basis of the determined change in inertia and data indicative of an inertia contribution characteristic of one or more energy production facilities and/or one or more energy consuming devices in the electric power grid, a characteristic of an inertial contribution to the electrical power grid is determined for a second time period different to the first time period.

INTEGRATED DISTRIBUTION PLANNING SYSTEMS AND METHODS FOR ELECTRIC POWER SYSTEMS

A multi-time frame distribution planning system which provides capacity planning and distributed energy resource planning is disclosed. In an embodiment, the system includes an interface for receiving electric power system input data for a plurality of data inputs including distributed energy resource data inputs and a data store including the electric power system input data. A computer processor coupled to the data store is programmed, upon receiving one or more commands, to use the electric power system input data to calculate at least one 3-phase AC power flow. The processor is further programmed to use the at least one 3-phase AC power flow to create at least one AC optimal power flow and use the AC optimal power flow to generate at least one potential scenario that includes distributed energy resources or hosting capacity for distributed energy resources.

Method for analyzing a aggregated consumption signal and for load control in an electrical power system

Die Erfindung betrifft ein Verfahren zur Analyse eines aggregierten Verbrauchssignals (41) einer Mehrzahl von Verbrauchern mit zeitlich variablem Bedarf an elektrischer Energie, wobei eine erste Verbrauchergruppe der Mehrzahl von Verbrauchern hinsichtlich einer zeitlichen Verteilung des Bedarfs an elektrischer Energie zentral beeinflussbar ist, und eine zweite Verbrauchergruppe der Mehrzahl von Verbrauchern nicht zentral beeinflussbar ist. Eine Parametrisierung (44) für das aggregierte Verbrauchssignal (41) wird bereitgestellt, wobei die Parametrisierung eine erste Funktionengruppe (43.1...43.6) von Funktionen zur Parametrisierung des Verbrauchs der ersten Verbrauchergruppe und eine zweite Funktionengruppe (42) zur Parametrisierung des Verbrauchs der zweiten Verbrauchergruppe umfasst. Nachfolgend wird eine Optimierung von Parametern der Parametrisierung zur Minimierung einer Fehlerfunktion durchgeführt, welche einer Abweichung zwischen der Parametrisierung und dem aggregierten Verbrauchssignal ...

Method for controlling a local power consumer.

Bei einem erfindungsgemässen Verfahren zur Steuerung eines lokalen Stromverbrauchers (4.1, …, 4.4), wobei der lokale Stromverbraucher (4.1, …, 4.4) sowohl Strom aus einem Stromnetz (2) als auch von einer lokalen Photovoltaik-Produktionsanlage (6.1, …, 6.4) beziehen kann, wird zunächst eine Produktionsüberschussprognose in Bezug auf die lokale Photovoltaik-Produktionsanlage (6.1, …, 6.4) für ein zukünftiges Zeitintervall erstellt, basierend auf Wetter-Prognosedaten für das Zeitintervall. Anschliessend werden basierend auf der Produktionsüberschussprognose vorgeschlagene Schaltzeiten für den lokalen Stromverbraucher (4.1, …, 4.4) definiert. Als Nächstes wird eine erwartete Kostenersparnis für einen Strombezug des lokalen Stromverbrauchers (4.1, …, 4.4) bestimmt, basierend auf den vorgeschlagenen Schaltzeiten, historischen Wetterdaten und/oder historischen Wetter-Prognosedaten, historischen Produktionsdaten und Tarifdaten eines Stromlieferanten. Schliesslich erfolgt die Steuerung eines Strombezugs ...

Power grid health condition evaluation method based on generation-reception balance

Dynamic load profiling

A method for dynamic load profiling of plug-in electric vehicles (PEVs) (105) in a power network can include receiving static load data in the power network, generating a load forecast from the static load data, generating dynamic load data from data related to PEVs (105) in the power network and modifying the load forecast based on the dynamic load data for profiling the dynamic load data of the PEVs (105).

For an electrical operation of the profile of the electric motor vehicle

Active power distribution network microgrid zoning method considering control autonomy and communication cost

마이크로그리드 에너지관리시스템 및 에너지저장장치에 대한 전력 저장 방법

... 실시예에 따르면, 에너지관리시스템의 전력 분산 방법으로서, 전력 공급부에서 현재 가능한 총 전력 생산량을 판단하는 단계; 복수개의 에너지저장장치(ESS: Energy Storage System)과 각각 연계된 복수개의 부하에 현재 공급되어야 하는 필요 전력량을 판단하는 단계; 상기 현재 가능한 총 전력 생산량과 상기 필요 전력량을 토대로 현재 충전이 가능한 잔여 전력량을 판단하는 단계; 및 상기 총 전력 생산량을 복수개의 부하들 중 우선순위가 가장 높은 것으로 판단된 부하와 연계된 에너지저장장치에 충전하고, 다른 복수개의 부하들과 연계된 에너지저장장치에는 상기 잔여 전력량으로 충전을 수행하는 단계를 포함하는, 전력 분산 방법이 제공된다.

A method and system for optimizing and predicting demand response

POWER DEMAND ESTIMATING DEVICE, METHOD, AND PROGRAM, AND DEMAND RESTRAINT PLANNING DEVICE

A power demand estimating device (1) provided with a demand-data memory (9), a demand estimator (5), and a display (30). The demand-data memory (9) stores a plurality of power-demand patterns (910) and temperature-categorized amount of power-demand data (920). The demand estimator (5) selects a demand pattern that corresponds to the environmental conditions of a date to be estimated from the demand-data memory (9), acquires a maximum and minimum amount of power-demand for the predicted temperature for the date to be estimated from the temperature-categorized amount of power-demand data (920), and, using those amounts, calculates the amount of power demand for each time unit of the date to be estimated so as to generate a demand estimation model (930). The display (30) displays the demand estimation model (930) and the power-demand pattern (910) selected by the data estimator (5).

METHOD AND DEVICE FOR PRODUCING A STATE SIGNAL

The invention relates to a method for producing a state signal (Sz) that indicates a state of an energy transmission system, whereby, for pre-determined network nodes of the energy transmission system, electrical measuring values for at least one electrical measuring variable are measured and used to produce the state signal indicating the state. According to the invention, respectively predicted load data that predict the electrical behaviour of the respective load are associated with the electrical loads connected to the energy transmission system; the electrical loads are respectively associated with an electrical load group into which the electrical loads are collected with comparable prognosis reliability; an individual weighting value that describes the prognosis reliability of the predicted load data of the loads associated with the load group is respectively allocated to each load group; and the state signal is formed using the measuring values, the load data and the weighting values ...

SYSTEMS AND METHODS FOR ENERGY CONSUMPTION AND ENERGY DEMAND MANAGEMENT

Various of the disclosed embodiments contemplate a computer-implemented method of energy consumption and energy demand management in a building. In accordance with some embodiments, interval energy data of a specific building may be collected with a fixed time interval and paired with local historical weather data and other forms of operational data, as well as financial data including historical utility bills, utility rate structures and billing cycle dates. Paired energy interval data and the local historical weather data may be analyzed according to one or more analytic algorithms.

UTILITY CAPACITY TRANSFER SYSTEM

An Internet-based method for managing a utility by presenting allocated utility capacity to a customer, presenting a predicted load profile to a customer, presenting available utility capacity, and transferring available utility capacity between entities according to an established transfer policy. The allocated utility capacity includes permitted utility consumption during a certain future period of time. The predicted load profile includes predicted utility consumption of the customer for each certain future period of time and is presented such that any variation between the allocated utility capacity and the predicted load profile is readily apparent. The available utility capacity includes an amount by which allocated utility capacity exceeds predicted utility consumption during each certain future period of time.

APPARATUS AND METHOD FOR ESTIMATING SECTION LOADS IN POWER DISTRIBUTION SYSTEM

Provided are an apparatus and method for estimating section loads in a power distribution system, which involve detecting and replacing error data in an actual measurement, considering the deviation in a diversity factor of an individual section, using current data, voltage data and phase data, and reflecting the loss caused by impedance, thereby estimating section loads in the power distribution system. The provided apparatus for estimating section loads in a power distribution system comprises: an error data processing unit for processing error data of acquired data in order to calculate an individual section load; a voltage estimation unit for estimating a voltage based on the calculated individual section load; a section load calculation unit for calculating an individual section load based on the calculated individual section load and the estimated voltage; a power flow calculation unit for calculating a voltage and phase based on the calculated individual section load, and calculating ...

A CELLULAR MINIGRID

VERY MUCH KURZZEITER LASTPRÄDIKTOR

Control method and apparatus

A method of controlling at multiple customer sites with separate metering electrical devices is disclosed in order to control consumption of electricity in an electricity supply web made up of multiple electricity using customers that is overlaid on a physical network, comprising the steps of: acquiring a budget for electrical energy for use in a predetermined time period; monitoring real-time use of electrical energy by electrical devices in the overlay web; comparing real-time use of electrical energy with the budget; and sending a control signal to at least one electrical device in the overlay web, based on the comparison, in order to increase or decrease electrical load so that total energy use in the predetermined time period is balanced with the budget. Also disclosed is an apparatus for controlling at least one electrical device in an electricity supply web made up of multiple electricity using customers that is overlaid on a physical network, comprising: a processor configured to ...

SYSTEM AND METHOD FOR DYNAMIC ENERGY STORAGE SYSTEM CONTROL

A control system for controlling an energy storage system includes a controller including a plurality of layered nodes configured to form an artificial neural network trained to generate a forecasted transmission level load and confidence value for an entire jurisdiction of a utility distribution system. The controller includes at least one memory and at least one processor configured for: identifying a potential coincident peak for the utility distribution system based on the forecasted transmission level load and confidence value generated by the artificial neural network; and upon identifying a potential coincident peak, transmitting signals to cause the electrical infrastructure to consume energy stored at the energy storage system thereby reducing the energy drawn from the utility distribution system during the identified potential coincident peak.

SYSTEM AND METHOD FOR PHASE BALANCING IN A POWER DISTRIBUTION SYSTEM

A phase balancing system includes a load forecasting module, a phase unbalance identification module and a demand response module. The load forecasting module determines a load forecast for the distribution system for the period of interest and the phase unbalance identification module determines voltage unbalance on the distribution system for the period of interest. The demand response module estimates an available demand response on the distribution system for the period of interest and allocates an optimized demand response from the available demand response to minimize the voltage unbalance on the distribution system for the period of interest.

A distribution network risk assessment method with a distributed photovoltaic power source

Wind-light storage micro-grid energy storage capacity optimization configuration method that considers controllable load

Short-period forecast method for power load

POWER CONTROL OF A MICROGRID

Intelligent park demand side short-term load forecasting method and device thereof

The peak clipping control device

METHOD OF OPTIMIZING THE CONSUMPTION AND THE PRODUCTION OF AN ELECTRICAL INSTALLATION

L'invention propose un procédé d'optimisation d'une production et d'une consommation d'électricité d'une installation raccordée à un réseau comprenant au moins un équipement consommateur d'électricité et une source de production d'électricité autonome, le procédé étant mis en œuvre dans une architecture comprenant ladite installation, des moyens de raccordement de l'installation au réseau, et au moins une unité d'aiguillage, comprenant au moins un aiguilleur et une unité de traitement, l'unité d'aiguillage étant adaptée pour relier sélectivement la source de production autonome aux équipements consommateurs ou au réseau en fonction d'informations qui lui sont communiquées, le procédé étant caractérisé en ce qu'il comprend la mise en œuvre, de : - l'acquisition d'informations relatives à : o des tarifications de vente et de soutirage d'électricité au réseau, o une production électrique de la source autonome, o une consommation électrique des équipements consommateurs d'électricités, et o ...

METHOD FOR OPTIMIZING POWER CONSUMPTION OF AN INSTALLATION

피크컷 제어 장치

... 계획 발전량과 수요예측 전력량과의 차분 전력을 구하는 차분 전력 연산부(13)와, 차분 전력과 축전지(105)의 단위 시간당 충전 가능 전력 또는 방전 가능 전력을 소정 시간마다 비교하여 축전지(105)의 충방전 및 가 피크컷량의 증감을 시뮬레이션함으로써, 소정 시간마다 피크컷량을 구하는 피크컷량 연산부(14)를 구비함으로써, 축전지(105)의 충전 가능 전력 또는 방전 가능 전력을 최대한으로 이용한 피크컷량을 구할 수 있도록 한다.

LOAD FORECASTING ANALYSIS SYSTEM FOR GENERATION OF CUSTOMER BASELINE LOAD

SYSTEM, APPARATUS AND METHOD FOR ENERGY MANAGEMENT CAPABLE OF PRESUMIMG THE OPERATION STATE OF THE ENERGY USE INSTRUMENT

PURPOSE: By using the amount of energy consumption information detected from cyclometer, the operation state of the discrete energy use instrument is presumed. The life time of the discrete energy use instrument can be known and the use of energy charge is predicted in the resonable range. CONSTITUTION: An energy management system comprises an estimated means(21), an analysing means(22), a receiving means(23), and a prediction means(24). According to an energy control means(25) is the foreseen outcome of the prediction means, the energy use instrument is controlled. The estimated means presumes the decided operation of the energy use instrument by using the energy fluctuation amount according to the time to be detected from the meter. COPYRIGHT KIPO 2012 ...

METHOD OF FORECASTING SHORT TERM ELECTRICAL LOAD AND APPARATUSE FOR USING THE SAME

REMOTE READING SYSTEM OF ELECTRICITY METERS AND LOW VOLTAGE DISTRIBUTION NETWORKS MANAGEMENT SYSTEM

The invention relates to a system for the remote reading of electricity meters and management of low-voltage electrical distribution networks. The inventive system comprises: a subsystem which establishes a communication between (i) the sensors used to take readings from the different meter devices and (ii) a data concentrator, by means of the low-voltage distribution lines; and a subsystem which manages the data collected by the concentrator and which processes same with a series of computer programs. According to the invention, the subsystem which establishes a communication between the sensors and the data concentrator is based on a slave/master configuration, wherein the slaves are the consumption counters (CM) and the master is the concentrator of the transformer station (MET), or point to multipoint with variations.

POWER EQUALISATION DEVICE

Disclosed is a power equalisation device whereby the power that is supplied to a manufacturing line from outside can be equalised even when a plurality of elements are simultaneously manufactured at different locations. In order to achieve this, a power equalisation device comprises: a power demand prediction function that predicts power consumption when a plurality of elements are being manufactured simultaneously at different locations of a manufacturing line or a metallic material manufacturing facility; and a power equalisation control function that, when the power consumption predicted by the power consumption prediction function exceeds a prescribed value causes power to be discharged by the manufacturing facility or manufacturing line to a power accumulation device, so that the power that is supplied to the manufacturing facility or manufacturing line from an external power system is no more than a prescribed value.

RESPONSIVE LOAD CONTROL METHOD

The responsive load control method manages the allocation and adjustment of service triggering grid frequencies across a population of responsive loads. The responsive load control method is particularly suited to responsive loads that have substantially no duty cycle or which have a long duration (> 1 hr) duty cycle. With this responsive load control method provision of the responsive load service is shared fairly amongst the population of contributing responsive loads.

ELECTRIC VEHICLE DISTRIBUTED INTELLIGENCE

The present disclosure provides system and methods for electric vehicle distributed intelligence. A system may determine scheduled charging times and scheduled charging locations to charge electric vehicles. The scheduled charging locations may correspond to charging stations geographical distributed throughout a power grid. The system may receive parameters related to power grid components configured to affect distribution of power. The system may forecast a power demand for charging the electric vehicles at the scheduled charging times and scheduled charging locations. The system may determine that a power demand to charge the electric vehicles is greater or less than power made available by the power grid components at the charging stations. The system may cause power to be reallocated among the power grid components in response to determination that the power demand to charge the electric vehicles is greater or less than power made available by the power grid components. 1. A method , comprising:determining scheduled charging times and scheduled charging locations to charge electric vehicles, the scheduled charging locations corresponding to charging stations geographical distributed throughout a power grid;receiving parameters related to power grid components configured to affect distribution of power to at least one of the charging stations, the parameters indicative of power made available by the power grid components;forecasting a power demand for charging the electric vehicles at the scheduled charging times and scheduled charging locations;determining that the power demand to charge the electric vehicles is greater or less than power made available by the power grid components at the charging stations; andcausing power to be reallocated among the power grid components in response to determination that the power demand to charge the electric vehicles is greater or less than power made available by the power grid components.2. The method of claim 1 , wherein ...

PEAK-CUT CONTROL DEVICE

A peak-cut control device comprises: a difference power calculation unit 13 for obtaining the difference power between a planned power production and a projected power demand; and a peak-cut amount calculation unit 14 for obtaining the peak-cut amount for each predetermined time by comparing, for the each predetermined time, the difference power with chargeable or dischargeable power of a battery 105 per unit time and simulating the charging and discharging of the battery 105 and the increase and decrease of a temporary peak-cut amount. This enables the peak-cut amount in which the chargeable power or the dischargeable power of the battery 105 is used at a maximum to be obtained.

DYNAMIC ECONOMICAL ONES ALLOCATION OF LOAD

METHOD AND SYSTEM FOR ENHANCING ELECTRICAL POWER PRODUCTION BY A POWER GENERATION SYSTEM

A power generation system (100, 200, 300, 400) is presented. The power generation system includes a prime mover (102), a doubly-fed induction generator (DFIG) (104) having a rotor winding (126) and a stator winding (122), a rotor-side converter (106), a line-side converter (108), and a secondary power source (110, 401) electrically coupled to a DC-link (128). Additionally, the power generation system includes a control sub-system (112, 212, 312) having a controller, and a plurality of switching elements (130, and 132 or 201). The controller is configured to selectively control switching of one or more switching elements (130, and 132 or 201) based on a value of an operating parameter corresponding to at least one of the prime mover, the DFIG, or the secondary power source to connect the rotor-side converter in parallel to the line-side converter to increase an electrical power production by the power generation system.

INTEGRATED SOLUTION TECHNIQUES FOR SECURITY CONSTRAINED UNIT COMMITMENT PROBLEM

Apparatus and methods are disclosed for solving Mixed Integer Programming (MIP) problems, such as Security Constrained Unit Commitment (SCUC) problems used by power grid authorities to perform day-ahead market clearing. In certain examples, a plurality of threads of a software tool implementing a concurrent optimizer can be executed concurrently and sequentially to generate new solutions to a SCUC problem for an upcoming planning horizon. Data can be shared among the concurrently executing threads, such as intermediate/incumbent solutions and hints regarding the fixing of variables and constraints to reduce the size of the SCUC problem. In some examples, the threads are seeded with historical solutions from prior planning horizons. The software tool can select a best solution from the solutions generated by the threads, and determine dispatch instructions for a device coupled to the power grid for the upcoming planning horizon based at least in part on the selected solution.

ENERGY BUDGET MANAGER

A method of monitoring energy consumption includes steps of establishing an energy budget for a future time period, receiving device information for a plurality of electrical devices and associating the device information with the energy budget, periodically measuring electrical usage from the plurality of electrical devices, projecting future energy consumption for the future time period based on the measured electrical usage, comparing the projected future energy consumption to the energy budget, and if the projected future energy consumption deviates from the energy budget, automatically generating an alert. The projected future energy consumption can take into account various factors such as energy available from non-grid sources; weather forecasts; battery storage; and historical data. A system employing the method can automatically control devices to bring predicted consumption within the budget.

INTELLIGENT GRID OPERATING SYSTEM TO MANAGE DISTRIBUTED ENERGY RESOURCES IN A GRID NETWORK

A distribution network connection mode comprehensive efficiency evaluation method based on a BSC curve

METHOD AND DEVICE FOR MANAGING THE SHARING OF RESOURCES BETWEEN PRODUCER CONSUMER EQUIPMENT AND/OR

La présente invention concerne un procédé, un dispositif et un programme d'ordinateur pour gérer le partage d'une ressource entre équipements producteurs et/ou consommateur de la ressource. L'invention permet de déterminer la capacité intrinsèque de modulation de chaque équipement pouvant participer à l'équilibrage du réseau et émettre une offre de modulation correspondante vers un acteur d'ajustement.

METHOD FOR CALCULATING CAPACITY OF ENERGY STORAGE APPARATUS AND POWER MANAGEMENT APPARATUS USING SAME

Disclosed are a method for calculating an appropriate capacity of an energy storage apparatus and a power management apparatus which uses the method to manage an emergency power supply capacity of a hybrid energy storage apparatus. The power management apparatus comprises: a data collection unit to collect a current power consumption amount to predict a power consumption amount by trend analysis or receive a predicted power consumption amount from a maximum power device; a storage unit to store data by date, month, and year, and classify data by season or usage pattern to manage the data; a prediction unit to retrieve the pattern on every operating day to store the pattern as an operating pattern of the corresponding day and predict a power consumption amount; and a compensation unit to modify continuous power consumption amount prediction data based on prediction data of the prediction unit and measurement data acquired while being actually operated. COPYRIGHT KIPO 2017 (S21) Input information ...

Apparatus and Method for managing energy by analyzing pattern of using electric device

PEAK CUT SYSTEM

POWER CONSUMPTION STANDARDIZATION CONTROL SYSTEM FOR SAVING ELECTRIC CHARGES OF APARTMENT HOUSE

The present invention relates to a power consumption standardization control system and method for saving electric charges of an apartment house and, more specifically, to a system and a method for saving total electric charges by managing a maximum load of electricity and by receiving a discount of basic charges when electric charges are calculated, and reducing management costs by smartly using electric energy by suppressing peak power by applying IoT. According to an embodiment of the present invention, the power consumption standardization control system for saving electric charges of an apartment house comprises: multiple consumer electric devices including an IoT function and a sensor function for recognizing a usage amount of electric energy consumed by consumers, and provided in each individual house forming an apartment house; an IoT network for exchanging information between things; a big data DB for storing previous electric energy usage pattern information (big data); and a ...

METHOD AND SYSTEM FOR FORECASTING POWER REQUIREMENTS USING GRANULAR METRICS

A method for modeling power usage within a macrogrid uses data relating to the behavioral patterns and states ("BA") of the users, data relating to external impacts on power usage and disaggregated power consumption data in at least one premises within the macrogrid (forming "power usage model data") and thereafter a method of forecasting and predicting future power requirements within the macrogrid uses such power usage model data.

METHOD AND SYSTEM FOR PREDICTING SOLAR ENERGY PRODUCTION

A system, method and computer program product to assist in managing the physical plant mechanisms and market finances for a deregulated electricity grid or regulated utility grid, populated with solar electric generation capacity. This system provides tools to assist grid operators in the scheduling and dispatch of generation resources in an electrical grid populated with solar electric generation capacity, a week in advance, on an hourly basis. It also provides tools to assist companies engaged in generation, distribution and energy marketing, in the electrical power industry, to manage their contractual supply obligations in the day-ahead hourly wholesale market and the spot market, in an electrical grid populated with solar electric generation capacity. This process can also be used to predict solar loading of building structures, using forecast irradiance data as inputs to common building energy modeling programs, a week in advance, on an hourly basis.

AUTOMATED FACILITIES MANAGEMENT SYSTEM

An automated facilities management system has the ability to predict occupant behavior by identifying recurring patterns in the way that people use buildings and comparing them with environmental characteristics. This technology is not limited to human behavior patterns, but extends to any mechanical systems or data points that tend to vary in recurring patterns. The data processing is carried out by rules engines triggered by relational database modifications.

SYSTEM AND METHOD FOR ENERGY DISTRIBUTION

A system and method for controlling the distribution of energy from a plurality of energy resources to a load. The system includes an energy system controller to control the distribution of energy to an electric load provided by a plurality of energy resources. The energy resources include dispatchable sources of energy such as diesel generators and combined heat and power generators; renewable sources of energy including photo-voltaic cells, wind turbines, and geothermal sources; and storage resources such as electrochemical batteries or pumped hydro reserves.

A CELLULAR MINIGRID

A system (1) for transferring a resource within an area (3) having a plurality of regions (5), the system (1) comprising: determining means (15) operable to determine whether any one or more of the regions (5) requires an amount of the resource; requesting means (15) operable to issue a request to at least one of the regions (5) for the amount of the resource; and transferring means (13) operable to transfer the resource from the at least one of the regions (5) to the any one or more of the regions (5).

CONTROLLER, CONTROL PROGRAM, AND CONTROL METHOD FOR CONTROLLER

PROBLEM TO BE SOLVED: To improve the efficiency of using solar light, in an electricity supply system. SOLUTION: In a control system 1, among respective home electric appliances included in a home-electric-appliance group 40, a home controller 10 at least obtains power consumption of the respective home electric appliances. The home controller 10 also obtains electric power generation information from a power conditioner 30. In addition, the home controller 10 estimates consumption of electric power of electric appliances other than a water heater 50 during a predetermined period, and on the basis of the consumption, the water heater 50 estimates a hot water amount which can be supplied to a particular device. COPYRIGHT: (C)2012,JPO&INPIT ...

PROCEDURE AND SYSTEM FOR THE PROGNOSIS OF THE NECESSARY ENERGY QUANTITIES ONE, IN PARTICULAR MANUFACTURER OF CONSUMER FROM A POWER SUPPLIER OR AN ENERGY SUPPLIER AS WELL AS A DEVICE TO THE ENERGY REQUIREMENT PREDICTION

SYSTEM FOR THE MONITORING AND MAINTENANCE ELECTRICAL POWER SUPPLY

Power grid system and method of consolidating power injection and consumption in a power grid system

A power grid system and a method of consolidating power injection and consumption in a power grid system. The power grid system comprises a power grid; at least one load connected to the power grid; a first meter configured for metering power imported from the power grid to the load; at least one intermittent power source connected to the power grid, a second meter configured for metering power generated by the intermittent power source; and a consolidation unit configured for associating readings from the first and second meters such that at least a portion of the power generated by the intermittent power source is offsettable with the power imported from the power grid to the load.

Demand monitoring device, demand monitoring method, and demand monitoring program

A demand monitoring device that monitors the amount of power received by a consumer, said device comprising a prediction unit that predicts power received during a given demand period on the basis of at least one from among demand power during a time prior to the demand period, generated power and received power during each demand period, known schedules of a consumer during the demand period, or weather information during the demand period; a creation unit that creates a graph having, as a first axis, times within a relevant demand period, i.e. the demand period during which monitoring is carried out, or values corresponding to said times, and, as a second axis, amounts of power or values corresponding to the amounts of power, said graph showing the amount of power received by a consumer up to the current time, a prediction value for the amount of power received starting at the current time as predicted by the prediction unit, and a target amount of power based on the power contracted ...

Systems, apparatus, and methods for load sharing between isochronous generators and battery energy storage systems in islanded microgrids

SYSTEMS, APPARATUS, AND METHODS FOR LOAD SHARING BETWEEN ISOCHRONOUS GENERATORS AND BATTERY ENERGY STORAGE SYSTEMS IN ISLANDED MICROGRIDS Embodiments provide for controlling power production in an islanded microgrid system while maintaining the system frequency and implementing desired load sharing between different types of generating resources and energy storage systems. Embodiments include a controller in communication with the resources to control operation of the resources and operative to determine an optimal load balance based on load and renewable generation forecast information; transmit load and generation schedules to a generation controller that operates the resources in accordance with the schedules; calculate a frequency set point for energy storage resources in the microgrid based on the optimal load balance of the energy storage resources, droop settings, rated power, and the frequency of the energy storage resources; and to control the frequency set point of the energy ...

AUTOMATIC ENERGY MANAGEMENT AND ENERGY CONSUMPTION REDUCTION, ESPECIALLY IN COMMERCIAL AND MULTI- BUILDING SYSTEMS

Automatic energy management is provided, in even the most complex multi- building system. The necessity of a human operator for managing energy in a complex, multi-building system is reduced and even eliminated. Computer-based monitoring and computer-based recognition of adverse energy events,(such as the approach of a new energy peak) is highly advantageous in energy management. Immediate automatic querying of energy users within a system of buildings for energy curtailment possibilities is provided. Such immediate, automatic querying may be answered by the energy users through artificial intelligence and/or neural network technology provided to or programmed into the energy users, and the queried energy users may respond in real-time. Those real-time computerized responses with energy curtailment possibilities may be received automatically by a data processing facility, and processed in real- time. Advantageously, the responses from queried energy users with energy curtailment possibilities ...

Battery exchange system and method

Predictive control method for eliminating influence of voltage fluctuation on AC side

The energy management system, the energy management method, program, server device and a client device

METHOD FOR DETERMINING THE RESIDUAL REQUEST BEING ADDRESSED TO A GROUP OF ELECTRICITY GENERATION

Method for controlling electrical distribution network for service system open to e.g. aggregator, involves performing dynamic zoning, and obtaining final zoning consisting of topology of network when stop criterion is obtained

L'invention concerne un procédé de zonage dynamique d'un réseau de distribution électrique pour des services système ouverts à au moins un agrégateur ou un producteur, et actionnables par un mécanisme d'offre et de demande, qui utilise un algorithme de clustering hiérarchique agglomératif, modifié pour assurer un zonage consistant avec la topologie de réseau, et appliqué sur une base de données de vecteurs de facteurs de sensibilité dVi/dPj de la tension en un nœud i à un différentiel de puissance active injectée/soutirée en un nœud j issus d'un calcul prévisionnel de répartition de charges.

RELOAD Of a PARK OF BATTERIES

Procédé de recharge d'un parc de batteries à partir d'un dispositif de recharge (10) comprenant plusieurs bornes (14) de recharge alimentées électriquement à partir d'au moins une source (11) de production d'énergie, caractérisé en ce qu'il comprend les étapes suivantes : - Estimation de la future production d'énergie, soit l'énergie prédite Eprédite et la puissance prédite Pprédite(t) en fonction du temps t, au cours d'une période de référence par au moins une source de production d'énergie; Estimation du besoin d'énergie Σj Ei(t) pour la recharge des batteries présentes dans le dispositif de recharge ; - Calcul d'une puissance fictive Pfictive inférieure ou égale à la puissance prédite et apte à répondre à tout ou partie de ce besoin d'énergie en une période fictive distincte ou non de la période de référence ; - Planification des recharges des batteries présentes dans le dispositif de recharge sur cette période fictive.

METHOD FOR OPTIMIZING POWER CONSUMPTION OF AN INSTALLATION

L'invention se rapporte à un procédé d'optimisation de la consommation électrique d'une installation (3) reliée à un réseau (4) de fourniture d'électricité, ladite installation (3) étant également reliée à un système de stockage (1) d'énergie apte à compléter au moins partiellement la puissance électrique fournie par le réseau dans une phase de décharge ou à stocker de la puissance électrique fournie par le réseau dans une phase de charge. La principale caractéristique d'un procédé selon l'invention est qu'il comprend les étapes suivantes, - une étape de prédiction des pics de puissance consommée, incluant les instants où ils surviennent et leurs durées, - une étape d'estimation de l'énergie nécessaire pour assurer lesdits pics de puissance, - une étape de décharge lorsqu'un pic de puissance survient, la puissance de décharge étant égale à une fonction de répulsion multipliée par une puissance de décharge maximum prédéterminée, la fonction de répulsion étant fonction de l'écart entre la ...

electrical power system

POWER SYSTEM

A data acquiring section (122) acquires external factor data such as a day of the week, date and time, or weather together with power data in a house and stores them in a storage section (114).A classification/learning section (124) reads the power data and the external factor data which are stored in the storage section (114) and classifies/learns the read data. A scheduling section (126) predicts a house power demand on the basis of the classified/learned data and schedules the charge-discharge of a vehicle according to the result of the prediction. A command generating/outputting section (128) generates a charge-discharge command of the vehicle according to the charge-discharge schedule.

POWER MANAGEMENT METHOD AND SYSTEM

A power management method and system are provided. A power management method according to one embodiment of the present invention predicts power consumption in a load, predicts power generation in a new and renewable energy power generation system, and if planned power outages are scheduled, manages power according to energy usage measures provided for the planned power outages established by referring to the predicted power consumption and the predicted power generation. Accordingly, even during planned power outages, flexible measures are possible.

ELECTRICAL DEVICE MONITORING APPARATUS, METHOD THEREOF AND SYSTEM

In one embodiment, a calculator calculates power consumed by devices and a feature at a time interval on a current and/or a voltage of a power supplier, a generating unit calculates a difference between the power consumption at the starting time and each power consumption and a difference between the feature at the starting time and each feature, in a first period from the starting time, for each device, creates, for each combination of the devices, a set of learning data including power consumption differences of devices therein and a sum of feature differences of the devices therein, generates a model to estimate, as a function of a first variable indicating the sum of feature differences, second variables indicating power consumption differences of each device, a estimating unit estimates power consumption of each device based on the model and the feature, the feature being given to the first variable.

LOAD FORECASTING FROM INDIVIDUAL CUSTOMER TO SYSTEM LEVEL

The present invention relates to system and method for providing near real-time DR events and price signals to the customer end-points to optimally manage the available DR resources. The system utilizes bottom up load forecasting for accurate individualized forecasts for customer loads in the presence of dynamic pricing signals. For better efficiency and reliability of grid operation the system utilizes advanced machine learning and robust optimization techniques for real¬ time and "personalized" DR- offer dispatch.

ELECTRICAL POWER USAGE CONTROLLER

A solution is proposed for an integrated system which tries to prevent and manage power break down in home electrical system with an interaction between the appliances or the electricity points within the house and a server controlling the system. A server (105) is connected to the meter (201) and to a plurality of agents (110). In a state of the art home electrical system the device (105) provides a new functionality which can range from a mere alerting service to a proper control and management of the electricity consumption within the house. Server (105) could be located anywhere between the main meter/switch, normally provided by the electrical distribution company, and the household appliances or, more in general, the electrical devices to be managed. Its preferred location is however inside the apartment itself, near the remainder of the main internal switches. Connected to the Server (105) there are several clients which are associated to one or more switches or plugs.

METHOD AND DEVICE FOR FILTERING ELECTRICAL CONSUMPTION CURVES AND ALLOCATING CONSUMPTION TO CATEGORIES OF APPLIANCES

The invention relates to a method for analysing the electrical consumption of a plurality of electrical appliances operating on a consumption site, by filtering a demand curve representing the electrical consumption of said appliances according to time. Said method is characterised in that it comprises the following steps: before the filtering per se of the demand curve, the demand curve is recorded and digitalised in such a way as to obtain a demand curve digitalised by periods of time; a set of categories of appliances is defined, each category being defined by similar cycles of power variation according to the time; an algorithm is defined for each category of appliances, for filtering the demand curve for said category of appliances, said algorithm being able to extract the power variation cycles from the digitalised demand curve and to allocate the electrical consumption to said category of appliances; then during the filtering per se of the digitalised demand curve, the filtering ...

METHOD AND SYSTEM FOR PREDICTING SOLAR ENERGY PRODUCTION

A system, method and computer program product for simulating and forecasting solar energy production on the basis of collected meteorological data, irradiance levels estimated from these collected meteorological data and the physical parameters of the solar energy generating system. The forecast can be based on the one-week meteorological forecast in order to predict solar energy production in the near future. Simulation and prediction can be made for whole geographical regions such that the net electrical energy demand of the region can be determined or forecast. On the basis of such data, electrical energy on a short-term market can be bargained and energy sales and purchases can be hedged.

ELECTRIC POWER DEMAND FORECAST SYSTEM AND METHOD

The purpose of the present invention is to more accurately determine the electric power demand on a target forecast date in view of a yearly change in meteorological environment and so forth, even if there is an error in meteorological forecast data on the target forecast date, without using meteorological results and demand results on the same date, week, month, or season in the past, as is. Pluralities of meteorological forecast groups for periods comprising a plurality of dates including a target forecast date for forecasting the electric power demand and meteorological result groups for periods comprising a plurality of dates in the past are set as target periods. Degrees of similarity for the plurality of target periods, between the meteorological forecast group and the plurality of meteorological result groups, are calculated. The trend of future electric power demand is forecasted and the electric power demand on the target forecast date is determined on the basis of comparisons ...

FREQUENCY BASED POWER MONITORING AND MANAGEMENT

Electrical power distribution control methods, electrical energy demands monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

Energy supply network and method for operating an energy supply network

An energy supply network includes at least one power station plant, at least one energy supplier, at least one energy infeed node, a number of energy distribution nodes and a number of consumers, which are supplied with electrical energy via the energy distribution nodes. At least some of the energy distribution nodes each include a power measuring instrument, via which the summated electrical power taken by all those consumers which are supplied with electrical energy via the respective energy distribution node, can be established. Further, a method makes use of previous and present consumption data in order to forecast a power demand as accurately as possible and to arrange for an appropriate feeding-in of electrical energy into the infeed node by the power station plant.

CONTROL SYSTEM

Method and system for forecasting power requirements using granular metrics

A method for modeling power usage within a macrogrid uses data relating to the behavioral patterns and states ("BA") of the users, data relating to external impacts on power usage and disaggregated power consumption data in at least one premises within the macrogrid (forming "power usage model data") and thereafter a method of forecasting and predicting future power requirements within the macrogrid uses such power usage model data.

Electrical energy storage system with cascaded frequency response optimization

A frequency response controller includes a high level controller configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, and use the statistics of the regulation signal to generate a frequency response midpoint. The controller further includes a low level controller configured to use the frequency response midpoint to determine optimal battery power setpoints and use the optimal battery power setpoints to control an amount of electric power stored or discharged from a battery during a frequency response period.

SYSTEM, METHOD AND APPARATUS FOR INTEGRATED MULTI-ENERGY SCHEDULING IN A MICRO-GRID AND A TANGIBLE COMPUTER READABLE MEDIUM

A system for integrated multi-energy scheduling in a micro-grid, wherein the micro-grid integrates one or more renewable energy sources, including a combined cooling, heating and power CCHP unit and an ice-storage air conditioner, together, the system including at least one processor, and at least one memory storing computer executable instructions, wherein the at least one memory and the computer executable instructions configured to, with the at least one processor, cause the system to predict an electricity demand and cooling demand in the micro-grid based at least on historical electricity and cooling demands, predict renewable energy output of the one or more renewable energy sources in the micro-grid based on electricity supplied from the one or more renewable energy sources, perform, based on the predicted electricity demand and cooling demand and the predicted renewable energy output, a multi-energy scheduling process for minimizing a total operational cost in the micro-grid under ...

A method and system for optimizing and predicting demand response

The present invention provides a method for forecasting load and managing a control plan for households having electric appliances wherein the control plan determines the activation of the electric appliances at pre-defined control periods. The method comprises the steps of: pre-processing per meter of households historical consumption of electric appliances at control period in relation to time dependent environmental parameters and household profiles and control program parameters, creating forecast model of consumption of each controlled appliance during next control plan period based on said pre-processing enabling to simulate control program parameters according to predefined goals parameter including at least target cost or consumption, determining control plan parameters for incoming control period, based on forecast models using defined goal parameters and sending control instructions to each group member control module based on determined control plan parameters, time dependent ...

High-efficiency and energy-saving method for operating power network

A high-efficiency and energy-saving method for operating a power network, which belongs to the technical field of power control. The method is as follows: a control centre of a power network measures and calculates a disposable power of electric energy for a user of a high energy-consuming industry in the power network in accordance with a predicted load value in the power network and a rated output power of a generation side in the power network, wherein the disposable power of electric energy is the difference between the rated output power and the predicted load value; and the user of the high energy-consuming industry carries out power-consuming operations according to the disposable power of electric energy. The method converts a high energy-consuming industry into a highly energy-effective industry. While the operation cost of an enterprise is reduced, the steady operation of the power network is realized, the utilization of the power network is improved, the high load operation of ...

Determining a characteristic of an inertial contribution to an electric power grid

Methods, and apparatus for determining a characteristic of an inertial contribution to an electrical power grid are described. A change in inertia in the electrical power grid based on one or more inertia measurements performed in a first time period is determined. On the basis of the determined change in inertia and data indicative of an inertia contribution characteristic of one or more energy production facilities and/or one or more energy consuming devices in the electric power grid, a characteristic of an inertial contribution to the electrical power grid is determined for a second time period different to the first time period.

TECHNIQUES FOR MANAGING RESOURCE CONSUMPTION FOR DEMAND-BASED METERING

A demand management module may determine a demand interval that is associated with an electrical utility provider. In addition, the demand management module may determine a threshold amount of electricity received by an electrical meter during the demand interval. In some cases, the demand management module may determine a forecasted consumption during the demand interval, for load devices that receive electricity via the meter. Based on a comparison of the forecasted consumption and the threshold, the demand management module may determine whether to control electrical consumption of one or more of the load devices during the demand interval. For example, the demand management module may issue a command to a load managing device to increase or decrease the consumption of the load device.

Controlling operation of power consuming devices in an electrical grid

Power system load adjustment control method

DATACENTER STABILIZATION OF REGIONAL POWER GRIDS

A system and method for regulating charge/discharge of a battery to stabilize a regional power grid includes a regulation control module that monitors a frequency regulation signal from the regional power grid and market conditions for obtaining power from the regional power grid. A machine learning module predicts from the frequency regulation signal and market conditions a future beneficial period when the battery may be exposed to the regional power grid to charge/discharge power in accordance with the frequency regulation signal to stabilize the regional power grid through participation in the regulation of the regional power grid. Another machine learning module calculates a regulation control signal that tracks the frequency regulation signal during the future beneficial period and outputs the regulation control signal to at least one battery control module that manages charging/discharging of the battery to selectively withdraw/apply power from/to the regional power grid during the future beneficial period. 1. A computer-implemented method of using a battery to stabilize a regional power grid , comprising:monitoring a frequency regulation signal from the regional power grid and market conditions for obtaining power from the regional power grid;predicting from the frequency regulation signal and market conditions a future beneficial period when the battery may be exposed to the regional power grid to charge/discharge power in accordance with the frequency regulation signal to stabilize the regional power grid through participation in the regulation of the regional power grid;calculating a regulation control signal that tracks the frequency regulation signal during the future beneficial period; andduring the future beneficial period, charging/discharging the battery in response to the regulation control signal.2. The method of claim 1 , wherein the market conditions comprise at least one of (1) a discrepancy between available power from the regional power grid ...

DEMAND SETPOINT MANAGEMENT IN ELECTRICAL SYSTEM CONTROL AND RELATED SYSTEMS, APPARATUSES, AND METHODS

The present disclosure is directed to systems and methods for controlling an electrical system using setpoints. Some embodiments include control methods that monitor an adjusted net power associated with the electrical system and adjust the setpoint based on a comparison of the adjusted demand to the setpoint. If the adjusted demand has not exceeded the demand setpoint, the setpoint is reduced. If the adjusted demand has exceeded the demand setpoint, the setpoint is increased. 1. A controller of an electrical power system , the controller comprising:a data storage device to store a demand setpoint representing a desired upper limit of demand of an electrical power system; provide at least one control value to the electrical power system to effectuate a change to the electrical power system to attempt to comply with the demand setpoint;', 'monitor an adjusted demand associated with the electrical power system;', 'compare the adjusted demand to the demand setpoint and if the adjusted demand is greater than the demand setpoint, increase the demand setpoint; and', 'reduce the setpoint., 'one or more processors operably coupled to the data storage device and configured to2. The controller of claim 1 , wherein the one or more processors are configured to: reduce the demand setpoint continuously; compare the adjusted demand continuously to determine if the demand setpoint should be increased; or both reduce the demand setpoint continuously and compare continuously to determine if the demand setpoint should be increased.3. The controller of claim 1 , wherein the one or more processors are configured to reduce or increase the demand setpoint periodically.4. The controller of claim 1 , wherein the one or more processors are configured to reduce the demand setpoint periodically independent of the comparison of the adjusted demand and the demand setpoint and to increase the demand setpoint immediately in response to the adjusted demand exceeding the demand setpoint.5. The ...

MANAGING CONSUMER ENERGY DEMAND

A computer-implemented method, according to one embodiment, includes: receiving an energy consumption profile which spans multiple intervals in a period of time, and predicting a net energy demand of a consumer system over the period of time. Moreover, a first multiple is determined which, when applied to the received energy consumption profile, produces an updated energy consumption profile which corresponds to an amount of energy that is capable of satisfying the predicted net energy demand of the consumer system. A greatest amount of underprediction is estimated. A greatest amount of overprediction is also estimated. Furthermore, an initial state of an energy storage device electrically coupled to the consumer system is computed according to the updated energy consumption profile. The initial state of the energy storage device is also based on a second multiple applied to each of the greatest amount of underprediction, and the greatest amount of overprediction. 1. A computer-implemented method , comprising:receiving an energy consumption profile which spans multiple intervals in a period of time;predicting a net energy demand of a consumer system over the period of time;determining a first multiple which, when applied to the received energy consumption profile, produces an updated energy consumption profile which corresponds to an amount of energy that is capable of satisfying the predicted net energy demand of the consumer system;estimating a greatest amount of underprediction by which the predicted net energy demand of the consumer system underpredicts an actual net energy demand of the consumer system over the period of time;estimating a greatest amount of overprediction by which the predicted net energy demand of the consumer system overpredicts the actual net energy demand of the consumer system over the period of time; andcomputing an initial state of an energy storage device electrically coupled to the consumer system which is able to satisfy the actual ...

RANDOM VARIABLE GENERATION FOR STOCHASTIC ECONOMIC OPTIMIZATION OF ELECTRICAL SYSTEMS, AND RELATED SYSTEMS, APPARATUSES, AND METHODS

Electrical system controllers, computer-readable storage media, and related methods for generating random variables for stochastic control of electrical systems. An electrical power system controller includes a processor. The processor is configured to generate an uncertainty metric based on observed input data, the uncertainty metric configured to indicate an uncertainty of an input variable. The processor is configured to generate a random variable based on the uncertainty metric to forecast the input data during a future period of time. The processor is also configured to generate a cost function corresponding to a cost of operating the electrical power system during the future period of time. The cost function is a function of the one or more random variables. The processor is further configured to control operation of the electrical power system during the future period of time based on an optimization of the cost function. 1. An electrical power system controller , comprising:one or more data storage devices;one or more observed input data interfaces configured to receive observed input data, the observed input data corresponding to observed values of one or more input variables during one or more previous periods of time; and store the observed input data on the one or more data storage devices;', 'generate one or more uncertainty metrics based on the observed input data, the one or more uncertainty metrics configured to indicate an uncertainty of the one or more input variables;', 'generate one or more random variables based on the one or more uncertainty metrics to forecast input data during a future period of time;', 'generate a cost function corresponding to a cost of operating the electrical power system during the future period of time, wherein the cost function is a function of the one or more random variables; and', 'control operation of the electrical power system during the future period of time based on an optimization of the cost function., 'one ...

APPARATUS AND METHOD FOR NON-INVASIVELY ANALYZING BEHAVIORS OF MULTIPLE POWER DEVICES IN CIRCUIT AND MONITORING POWER CONSUMED BY INDIVIDUAL DEVICES

The present invention provides a method for analyzing power devices in a circuit by using a non-invasive technique, wherein a power analysis apparatus: analyzes information on power supplied to the circuit, so as to acquire information on power patterns which are generated according to ON/OFF operation states of individual power devices, and classifies the power patterns into groups of their own similar power patterns by making reference to the information on the power patterns, so as to acquire at least one piece of motif information which is information on at least one fingerprint; counts the frequency of occurrence of each motif by analyzing information on power supplied to the circuit for a predetermined operation state determination time; and determines, as information on the operation state of a particular power device among the individual power devices, a pair of specific motifs having the difference between the counted frequencies of occurrence, which is within a predetermined value range, and average power variation values symmetrical to each other, whereby an accurate determination can be made as to the individual power devices in the circuit. 1. A method for non-invasively analyzing power devices in a circuit , comprising steps of:(a) a power analyzing device analyzing power information on power fed into the circuit, to thereby acquire power pattern information generated according to ON or OFF states of individual power devices;(b) the power analyzing device classifying pieces of the acquired power pattern information into each group of its own similar power patterns, to thereby acquire at least one piece of motif information which is information on at least one fingerprint; and(c) the power analyzing device analyzing the power information on power fed into the circuit during a preset state-detecting time range, to thereby count the number of occurrences per motif, and determine one or more pairs of specific motifs, whose differences in the number of ...

POWER GENERATION PREDICTION SYSTEM AND A METHOD THEREOF

A power generation prediction system using a first neural network and a second neural network is provided, and the first neural network is connected to the second neural network. The first neural network receives first input data, and generates the amount prediction data according to the first input data. The first input data is used to determine amount prediction data, and the amount prediction data is used to determine power generation prediction data. The second neural network receives the amount prediction data, and calculates the power generation prediction data according to the amount prediction data. When a device in a selected area is deteriorated or reinstalled, the second neural network is fine-tuned and trained again. 1. A power generation prediction system , applicable to an area where a plurality of devices are installed for power generation with a power generation conversion curve , and the power generation prediction system comprising:a first computing device configured to receive first input data, and use a first neural network to generate amount prediction data according to the first input data, wherein the first input data comprises meteorological data and used to determine the amount prediction data, and the amount prediction data is used to determine power generation prediction data;a second computing device connected to the first computing device and configured to receive the amount prediction data, and use a second neural network to perform an approximation function to calculate the power generation prediction data according to the amount prediction data; anda third computing device connected to the second computing device, and configured to receive second input data, and use a third neural network to generate a power generation module parameter prediction data according to the second input data, wherein the second input data is used to determine the power generation module parameter prediction data, and the power generation module parameter ...

System and method for controlling a power storage device

The present invention relates to a local control system (6) configured to define a charge or discharge command made to a power storage device (5) on the basis of a charge or discharge instruction, sent by an overall control system (7), and the instantaneous power used by the power-using devices (4), such that the instantaneous power used by the power using devices (4) is always greater than the discharge power of the power storage device (5), so as to guarantee that the power stored by the power storage device (5) is not re-injected into the power distribution network (3).

Energy Management Method for an Energy System and Energy System

The present invention relates to an energy management method for an energy system () in a building. The energy system () comprises a plurality of uncontrollable energy consumers (HH), at least one controllable energy consumer (WP), an energy storage device (BAT), a net connection point (NAP) through which energy can be drawn from the net and/or fed into the net, and a feedback-control or control device (EMS) which is designed to feedback-control or control the at least one controllable energy consumer (WP) and the energy storage device (BAT). The plurality of uncontrollable energy consumers (HH) is configured to draw energy from the net or from the energy storage device (BAT). The method comprises the following steps: detecting a current state of charge (SOC) of the energy store device (BAT), defining a period of time (ΔT) during which the uncontrollable energy consumers (HH) are supplied with energy from the energy storage device, determining a limit value (SOC) of the state of charge of the energy storage device (BAT) on the basis of a determined minimum energy demand of the plurality of uncontrollable energy consumers (HH) up to the time of charging (T), operating the at least one controllable energy consumer (WP) with energy from the energy storage device (BAT) if the current charge state (SOC) of the energy storage device (BAT) is greater than the determined limit value (SOC) of the charge state and operating the at least one controllable energy consumer (WP) with energy from the net if the current charge state (SOC) of the energy storage device (BAT) is less than or equal to the determined limit value (SOC) of the charge state. 111. An energy management method for an energy system () in a building , the energy system () comprising:a plurality of uncontrollable energy consumers (HH),at least one controllable energy consumer (WP),an energy storage device (BAT),a net connection point (NAP) through which energy can be drawn from the net and/or fed into the net, ...

METHOD FOR CONTROLLING AN ELECTRICAL DISTRIBUTION NETWORK

A method for controlling an electrical distribution network, wherein a network control station is provided to control the electrical distribution network and the electrical distribution network comprises a plurality of balancing areas, wherein each balancing area outputs or receives an exchange power to or from the electrical distribution network, and wherein at least one of the balancing areas has at least one generator, in particular a wind farm, for generating a generator power and additionally at least one consumer for receiving a consumer power, wherein at least one balancing area controller is provided to control the at least one generator or wind farm, and the method comprises the following steps: reception by the balancing area controller from the network control station of a value of an exchange power to be set, wherein the exchange power is defined as a difference between the consumer power and the generator power, drawing up by the balancing area controller of a deployment plan for adherence to or attainment of the exchange power to be set, wherein the deployment plan is provided to control the generators and consumers and is drawn up in such a way that a difference between the attained exchange power and the exchange power to be set is minimal, and generation of electrical power by means of the at least one generator or wind farm depending on the deployment plan. 1. A method for controlling an electrical distribution network , wherein a network control station is configured to control the electrical distribution network and the electrical distribution network comprises a plurality of balancing areas , wherein each of the plurality of balancing areas is configured to output or receive an exchange power to or from the electrical distribution network , wherein at least one of the plurality of balancing areas has at least one generator configured to generate a generator power and has at least one consumer configured to receive a consumer power , and wherein ...

DEMAND PREDICTION SYSTEM AND PROGRAM

A demand prediction system includes a receiver, a memory, an extractor, a model generator and a predictor. The extractor is configured to extract consumption periods for branch circuits, during each of which power is consumed once. The model generator is configured to generate models. Each model includes: an order in which the consumption periods have occurred; amounts of electric power respectively consumed during the consumption periods; and start time points and duration times, of the consumption periods. The model generator is further configured to calculate transition probabilities between the models. The predictor configured to predict, as a prediction result, an amount of electric power that is demanded in a prediction period defined as a time period after a determination time point, based on: a certain model in past before the determination time point, of the models; and a transition probability corresponding to the certain model. 1. A demand prediction system , comprising:a receiver configured to acquire, from a meter, power values respectively consumed through two or more branch circuits branched in a distribution board installed in a facility of a power consumer;a memory configured to store power information that includes a power value per branch circuit, acquired by the receiver, in association with date and time;an extractor configured to extract consumption periods for the two or more branch circuits, during each of which an electric load consumes power by being used once, based on the power information stored in the memory;a model generator configured to generate models based on pieces of the power information in prescribed periods, stored in the memory, respectively, an order in which the consumption periods have occurred,', 'amounts of electric power that have been respectively consumed during the consumption periods, and', 'start time points and duration times, of the consumption periods,, 'each model including'}the model generator being further ...

SYSTEM AND METHOD OF DETERMINING FORECAST ERROR FOR RENEWABLE ENERGY FLUCTUATIONS

A system for determining (a) forecast error and/or (b) scaling error for wind power generation is provided, the system utilizing generated and forecast time series for power generation derived from wind and analyzing temporal correlations in the wind fluctuations to quantify: (a) the forecast error defined by deviations between the high frequency components of the forecast and generated time series, and (b) a scaling error defined by a degree that temporal correlations fail to be predicted for an accurate predictor of wind fluctuations. Wind fluctuations may exhibit multi-fractal behavior at the turbine level and/or may be rectified to a fractal structure at the grid level. A memory kernel may be used to reduce the forecast and scaling errors. 1. A computer-readable storage medium storing a program to manage energy production in an energy grid based on a physical quantity , the program causing a computer to execute at least following processes ,a first process including:a (1-1)-th step that fixes n to an integer equal to 1 or greater;a (1-2)-th step that makes a calculation shown in a formula (1) regarding the physical quantity:{'sub': G', 'F', 'F', 'G, 'sup': 'n', 'P(t) represented as a function of a time t and a predicted value of the physical quantity: P(t+τ) at a time t+τ when a fixed time τ passes from the time t, (|P(t+τ)−P(t)|). . . (1);'}a (1-3)-th step that calculates a first average value as an average value of the formula (1) when the time t is varied for a fixed period;a (1-4)-th step that calculates a first average value when the T is varied;a (1-5)-th step that performs the (1-1)-th step to the (1-4)-th step at least once for the integer that is different from the n in the (1-1)-th step; anda (1-6)-th step that calculates a time scaling error in accordance with a numeric of the n from the first average value calculated in the (1-4)-th step and the first average value calculated in the (1-5)-the step;a second process including steps below:a (2-1)-th ...

METHOD AND SYSTEM FOR MANAGING CHARGING/DISCHARGING OF ELECTRIC ENERGY BASED ON PREDICTION FOR PHOTOVOLTAIC POWER AND LOAD

Disclosed herein is a system for managing charging/discharging of electric energy based on prediction for PV power and load. The system includes a power generation unit configured to generate electric energy from PV power, a energy storage unit configured to be charged with the electric energy supplied from the power generation unit and electric energy supplied from an external power supplier via one common node or to be discharged with the electric energy to a load via the one common node, and a manager control unit configured to predict a PV power and a load and schedule and control charging/discharging of the energy storage unit based on data of a result of the prediction. 1. A system for managing charging/discharging of electric energy based on prediction for PV power and load , comprising:a power generation unit configured to generate electric energy from PV power;a energy storage unit configured to be charged with the electric energy supplied from the power generation unit and electric energy supplied from an external power supplier via one common node or to be discharged with the electric energy to a load via the one common node; anda manager control unit configured to predict a PV power and a load and schedule and control charging/discharging of the energy storage unit based on data of a result of the prediction.2. The system according to claim 1 , wherein the manager control unit includes:a power predicting part that predicts the PV power for a preset period by processing the past PV power data using a Gaussian process method;a load predicting part that predicts the load for the preset period by processing the past load data using the Gaussian process method; anda charging/discharging setting part that generates first schedule data for scheduling the charging/discharging of the energy storage unit, using at least one information and data of the current PV power, the current electric energy charging amount, the current load and the current temperature, based ...

POWER TRANSACTION MANAGEMENT SYSTEM AND POWER TRANSACTION MANAGEMENT METHOD

A system for distributing electric energy on a power trading market, takes into account fluctuating adjustment capacity for power consumption among a plurality of customers. This power trading management system: performs a forecast in power prices; extracts information about a predetermined power product to be traded; adjusts a capacity forecast in the power consumption adjustment capacity which indicates the capacity to adjust power consumption is forecasted for each customer; prepares an adjustment plan by assigning electric energy to be traded to each customer on the basis of capacity to adjust power consumption; prepares a trading plan for the trading of power products on the basis of the adjustment plan; processes order information based on the trading plan and transmits the order information to a market operation management device; and transmits the adjustment plan to each customer. 1. A power transaction management system managing a power transaction , comprising:a communication unit communicatively coupled to a market operation management apparatus configured to manage a predetermined power transaction market, and to a plurality of consumers;a memory unit configured to store a predetermined computer program; anda processing unit coupled to the communication unit and the memory unit, and configured to execute the predetermined computer program thereby executing predetermined processing, whereinthe processing unit is configured to execute:power price forecasting processing of forecasting a future power price in the predetermined power transaction market;power product extracting processing of extracting information on a predetermined power product to be purchased and sold in the predetermined power transaction market on the basis of a predetermined power product extracting condition configured in advance and the forecasted power price;adjusting ability forecasting processing of forecasting, for each of the consumers, a power consumption amount adjusting ability ...

Local demand side power management for electric utility networks

A demand side electric power supply management system is disclosed. The system comprises an islanded power system having a point of coupling to a supply grid. The islanded power system supplies a plurality of electric loads, each of which is associated with a load controller to control the maximum power demanded by that load. A measuring means associated with the point of coupling measures the total power transfer between the grid and the islanded system, and a system controller monitors the measured power transfer relative to a set point and provides a control signal to a plurality of load controllers. Each load controller receives substantially the same control signal and determines the maximum power which the or each load associated with the load controller is allowed to draw from the islanded power system based on information contained in the control signal.

EFFICIENT AND ENERGY-SAVING POWER GRID OPERATION METHOD

Efficient and energy-saving power-grid operation method, belonging to the technical field of power control, which includes steps of: calculating disposable electricity power for high-power consumption industrial users in the power-grid by a power-grid control center according to a predicted load value in a power-grid and rated output power of a power generation side in the power-grid, wherein the disposable electricity power is the difference between rated output power and predicted load value; performing electricity-consuming operations via high-power consumption industrial users according to the disposable electricity power. Converting high-power consumption industries into highly efficient industries, reducing operation cost of enterprises while realizing stable running of the power-grid. Improving the power-grid utilization rate ensuring high-load running of thermal and nuclear power-stations, avoiding increases in production cost of thermal and nuclear power enterprises by regulating loads, and ensures renewable resource of generated electricity can be completely incorporated into the power-grid to be used. 1. An efficient and energy-saving power grid operation method , comprises: a power grid control center calculates disposable electricity power for high power consumption industrial users in a power grid according to predicted load values in the power grid and the rated output power of a power generation side in the power grid , wherein the disposable electricity power is the difference between the rated output power and the predicted load values; the high energy consumption industrial users perform electricity-consumption operation according to the disposable electricity power.2. The efficient and energy-saving power grid operation method according to claim 1 , wherein low energy consumption industrial users in the power grid include residential users claim 1 , primary-industry users claim 1 , tertiary-industry users and conventional industrial users; the ...

AUDIT METHOD AND SYSTEM AND SUPPLY METHOD AND SYSTEM FOR PV POWER INJECTION AND CONSUMPTION IN A POWER GRID SYSTEM

A method of supplying power in a power grid, a system supplying power in a power grid, a method of consolidating power injection and consumption in a power grid, a system for consolidating power injection and consumption in a power grid, a metering system for a power grid, and a metering method for a power grid. The method of supplying power in a power grid, the method comprises determining an initial forward probabilistic power supply time profile of an aggregate intermittent power source connected to the power grid; determining a target power demand time profile of at least one load connected to the power grid; and associating at least respective portions of the initial forward probabilistic power supply time profile and the target demand time profile such that a probability of supply of power from the intermittent power source to the load meets a specified criterion. 1. A method of supplying power in a power grid , the method comprising:determining an initial forward probabilistic power supply time profile of an aggregate intermittent power source connected to the power grid;determining a target power demand time profile of at least one load connected to the power grid; andassociating at least respective portions of the initial forward probabilistic power supply time profile and the target demand time profile such that a probability of supply of power from the intermittent power source to the load meets a specified criterion.2. The method as claimed in claim 1 , further comprising generating an updated forward probabilistic power supply profile based on the associated portion of the initial forward probabilistic power supply time profile being dedicated to the load.3. The method as claimed in claim 1 , further comprising outputting a forward probabilistic intermittent power supply contribution for the load based on the associated at least respective portions of the initial forward probabilistic power supply time profile and the target demand time profile.4. The ...

SOLAR ENERGY METERING, COMMUNICATIONS, AND CONTROL SYSTEM

Methods, systems, and computer readable media are disclosed for monitoring photovoltaic solar systems. In some examples, the system includes a solar power measurement input for coupling to a solar panel system, a measurement circuit configured to measure power produced by the solar panel system using the solar power measurement input, and a data transmission system. The measurement circuit is configured, by virtue of the measurement circuit including electrical components rated to at least a certain tolerance level, to take revenue-grade power measurements from the solar power measurement input with a level of accuracy that meets a national or international metering standard. The data transmission system is configured to transmit the revenue-grade power measurements from the measurement circuit to a remote system. 1. A system comprising:a solar power measurement input for coupling to a solar panel system;a measurement circuit configured to measure power produced by the solar panel system using the solar power measurement input, wherein the measurement circuit is configured, by virtue of the measurement circuit comprising a plurality of electrical components rated to at least a certain tolerance level, to take a plurality of revenue-grade power measurements from the solar power measurement input with a level of accuracy that meets a national or international metering standard; anda data transmission system configured to transmit the revenue-grade power measurements from the measurement circuit to a remote system.2. The system of claim 1 , wherein the measurement circuit comprises a voltage measurement circuit and a current measurement circuit.3. The system of claim 2 , wherein the voltage measurement circuit comprises one or more scaling networks configured claim 2 , by virtue of one or more resistors and one or more buffering amplifiers claim 2 , to translate a line voltage from the measurement input to a signal at a lower voltage than the line voltage.4. The system ...

Electricity distribution system and electricity distribution method

An electricity distribution system includes an electricity supply control unit that receives information on power consumption, estimates the current and the future power consumption, and controls the supply of electricity to the electric device; an information display unit that displays information on a power use situation of an electric device electrically connected with the electricity supply control unit; and a battery server that accumulates power, in which the electricity supply control unit communicates the information on the power consumption with a new electric device when the new electric device is electrically connected, and when the amount of available power is exceeded by supplying electricity to the electric device, does not supply electricity to the electric device, makes the information display unit display that the amount of available power is exceeded by supplying electricity to the information display unit, and determines whether to use the power accumulated in the battery server.

A METHOD AND A SYSTEM FOR CONTROLLING ENERGY SUPPLY TO A CLIENT

A method for controlling energy supply to a client, wherein the client is connected to at least two energy utilities and/or energy grids for receiving energy for operating its energy systems, includes providing a demand request signal by at least one operation unit and/or by at least one of the at least two energy utilities and/or energy grids for requesting a demand modification with regard to at least one energy system of the client. A functional entity balances the energy supply to the client, so that a supply of energy from the at least two energy utilities or energy grids to the client is provided under consideration of the demand request signal or signals in a complementary way. 1. A method for controlling energy supply to a client , wherein the client is connected to at least two energy utilities and/or energy grids for receiving energy for operating its energy systems , the method comprising:providing a demand request signal by at least one operation unit and/or by at least one of the at least two energy utilities and/or energy grids for requesting a demand modification with regard to at least one energy system of the client,wherein a functional entity balances the energy supply to the client, so that a supply of energy from the at least two energy utilities or energy grids to the client is provided under consideration of the demand request signal or signals in a complementary way.2. A method according to claim 1 , wherein the at least two energy utilities and/or energy grids provide different energy forms.3. A method according to claim 1 , wherein an operation of the functional entity is in a situation where the supply of energy serves a same end-use purpose.4. A method according to claim 1 , wherein the functional entity balances the energy supply to the client under consideration of one or more constraints of one or more of the energy utilities and/or energy grids and/or operation units.5. A method according to claim 1 , wherein the functional entity ...

METHOD AND DEVICE FOR CONTROLLING DISTRIBUTED GENERATOR IN DISTRIBUTION SYSTEM

The present disclosure provides a method and a device for controlling a distributed generator in a distribution system. The method includes: extracting a first statistic feature of a load at each bus; extracting a second statistic feature of a distributed generator at each bus; establishing a probability distribution set of each first and second statistic feature; determining security constraints of the distribution system; obtaining a bilinear matrix inequality constraint by using a C-VaR approximation algorithm and a duality algorithm based on the probability distribution set and on the security constraints; determining an objective function to maximize a total installed capacity of the distributed generators; solving the objective function according to the bilinear matrix inequality constraint to obtain an installed capacity of each distributed generator; and controlling an access of each distributed generator according to the installed capacity. The method may take full use of statistic features and has higher practicability. 1. A method for controlling a distributed generator in a distribution system , wherein the distribution system comprises a plurality of buses , a plurality of feeder terminal units and a dispatching center; each feeder terminal unit is configured to monitor load data of each bus and to send the load data to the dispatching center , the dispatching center comprises one or more computing devices , and the method comprises:extracting, by the one or more computing devices, a first statistic feature of a load at each bus according to the load data;extracting, by the one or more computing devices, a second statistic feature of a distributed generator at each bus according to historical data;establishing, by the one or more computing devices, a probability distribution set of each first statistic feature and each second statistic feature;determining, by the one or more computing devices, one or more security constraints of the distribution system; ...

METHOD FOR CONTROLLING AN ELECTRIC POWER DISTRIBUTION GRID

The invention relates to a method for controlling an electric power distribution grid, which comprises one or more first grid devices having changeable set-points. 2. The method claim 1 , according to claim 1 , wherein if said consumption forecast value (E) does not meet said first convergence criteria and the set-points of said first grid devices (CD claim 1 , . . . claim 1 , CD) have already been changed within said observation time window (T) claim 1 , said control procedure comprises the following steps:q{'sub': CFV', 'CTV, 'checking whether said consumption forecast value (E) meets second convergence criteria with respect to said consumption target value (E);'}{'sub': CFV', '1', 'N, 'if said consumption forecast value (E) meets said second convergence criteria, maintaining unchanged the set-points of said first grid devices (CD, . . . , CD);'}{'sub': 'CFV', 'claim-text': [{'sub': REQ', 'CTV, 'calculating a requested power variation value (ΔP) for said electric power distribution grid to reach said consumption target value (E);'}, {'sub': 1', 'N, 'calculating for one or more first grid devices (CD, . . . , CD), a characteristic curve on a ΔP-r reference system;'}, 'calculating, for said electric power distribution grid, a characteristic curve on said ΔP-r reference system;', 'calculating a priority level (λ) for said electric power distribution grid;', {'sub': 1', 'N, 'providing control signals (CON) to change the set-points of one or more first grid devices (CD, . . . , CD), said control signal comprising information indicative of the priority level (λ) calculated for said electric power distribution grid.'}], 'if said consumption forecast value (E) does not meet said second convergence criteria, executing the following steps3. The method claim 1 , according to claim 1 , wherein said step of checking whether said intervention criteria are met comprises the following steps:{'sub': HW', 'OW, 'checking whether the check instant (tc) is within an inhibition time ...

ACTIVE POWER DISTRIBUTION NETWORK MULTI-TIME SCALE COORDINATED OPTIMIZATION SCHEDULING METHOD AND STORAGE MEDIUM

An active power distribution network multi-time scale coordinated optimization scheduling method and storage medium are provided. The method includes the following steps: performing long-time scale optimization scheduling of an active power distribution network; performing short-time scale rolling optimization scheduling on the basis of MPC of the active power distribution network according to an optimization result of the long-time scale optimization scheduling of the active power distribution network. By using a model prediction control method, taking the long-time scale optimization scheduling result as a reference, and performing short-time scale rolling correction, the optimization scheduling of the active power distribution network is achieved, thereby reducing unfavorable influences of prediction precision of a distributed power supply and a low-voltage load on the optimization scheduling. 1. A multi-time-scale coordinated optimization scheduling method for an active power distribution network , comprising the following steps:(1) performing long-time-scale optimization scheduling on the active power distribution network (1); and(2) performing Model Predictive Control (MPC)-based short-time-scale rolling optimization scheduling on the active power distribution network according to an optimization result of long-time-scale optimization scheduling of the active power distribution network.2. The method according to claim 1 , wherein Step (1) comprises:{'sub': k', 'load, '(1-1) acquiring a distributed power supply predicted value {circumflex over (P)}(t), load predicted value {circumflex over (P)}(t), adjustable energy storage capacity and adjustable flexible load capacity of the active power distribution network under a long time scale;'}(1-2) constructing a long-time-scale optimization scheduling model for the active power distribution network; and{'sub': stori', 'Lj, '(1-3) acquiring the optimization result of long-time-scale optimization scheduling of the ...

OPTIMAL CONTROL TECHNOLOGY FOR DISTRIBUTED ENERGY RESOURCES

Devcies and methods of allocating distributed energy resources (DERs) to loads connected to a microgrid based on the cost of the DERs are provided. The devices and methods may determine one or more microgrid measurements. The devices and methods may determine one or more real-time electricity prices associated with utility generation sources. The devices and methods may determine one or more forecasts. The devices and methods may determine a cost associated with one or more renewable energy sources within the microgrid. The devices and methods may determine an allocation of the renewable sources to one or more loads in the microgrid. 1. A method comprising:determining, by one or more computer processors coupled to at least one memory, one or more microgrid measurements;determining, by the one or more computer processors, one or more real-time electricity prices associated with utility generation sources;determining, by the one or more computer processors, one or more forecasts;determining, by the one or more computer processors, a cost associated with one or more renewable energy sources within the microgrid; anddetermining, by the one or more computer processors, an allocation of the renewable sources to one or more loads in the microgrid.2. The method of claim 1 , wherein the microgrid measurements include real power measurements and reactive power measurements.3. The method of claim 2 , wherein the microgrid measurements are measurements of the one or more renewable energy sources.4. The method of claim 1 , wherein the utility generation sources comprise coal fired plants claim 1 , natural gas plants claim 1 , wind farms claim 1 , solar photovoltaic (PV) plants claim 1 , hydroelectric plants claim 1 , or nuclear plants.5. The method of claim 4 , wherein the one or more forecasts comprise real power forecasts of the solar PV plants forecasts and load forecasts of power consumed by the one or more loads.6. The method of claim 1 , wherein the allocation of the ...

METHOD AND SYSTEM FOR FACILITATING OPTIMIZATION OF ENERGY IN A DISTRIBUTED ENVIRONMENT

Disclosed is a real-time decision support system for facilitating optimization of in a distributed environment. A data capturing module for capturing data from a plurality of data sources at a predefined interval of time. The data is captured pertaining to a specific domain and a specific geographical area. A forecasting module for forecasting demand of energy to be consumed by energy utilities in the specific domain and the geographical area upon analyzing the data. A position gap determination module for determining a position gap indicating a difference between the demand of energy and supply of energy. An energy optimization module for identifying at least one energy pool, from a plurality of energy pools, for retrieving a deficit of the demand of energy and providing the deficit of the demand of energy retrieved from the at least one energy pool in order to bridge the position gap. 1. A method for facilitating optimization of energy in a distributed environment , the method comprising:capturing, by a processor, data from a plurality of data sources at a predefined interval of time, wherein the data is captured pertaining to a specific domain and a specific geographical area, and wherein the plurality of data sources comprises digital data and non-digital data;forecasting, by the processor, demand of energy to be consumed by energy utilities in the specific domain and the geographical area upon analyzing the data, wherein the demand of energy is forecasted by using at least one forecasting technique;determining, by the processor, a position gap indicating a difference between the demand of energy and supply of energy, generated by a plurality of energy generation sources, for a predetermined time;identifying, by the processor, at least one energy pool, from a plurality of energy pools, for retrieving a deficit of the demand of energy in order to fulfill the demand of energy in the specific domain and the geographical area, wherein the at least one energy pool is ...

POWER NETWORK MANAGEMENT

A power network management system for managing distribution of electric energy to a multitude of power consumers by means of a power grid, the system comprising a plurality of software agents and a convergence unit. Each software agent is adapted to be connected to one of the power consumers and to exchange data with the power consumer, wherein each software agent is adapted to exchange data with the power consumer, and wherein the convergence unit is adapted to request and receive consumption-related data of the consumers, to estimate energy consumption needs of each of the consumers within a defined time period, to generate an optimized energy distribution plan for distributing available electric energy among the consumers, to generate consumption plan data for each of the consumers, and to provide the consumption plan data to the software agents of the consumers. 1. A power network management system for managing distribution of electric energy from a power network to a multitude of power consumers by means of a power grid , the power management system comprising: installable on a power consumer of the multitude of power consumers, or', 'installed on a communication module that is adapted to be connected to one of the power consumers and to exchange data with the power consumer,, 'a plurality of software agents and a convergence unit, each having a computing unit, a memory unit, and at least one machine-learning algorithm, wherein each software agent iswherein each software agent is adapted to exchange data with the power consumer it is installed on or connected to and with the convergence unit, and request and receive from the plurality of agents consumption-related data of the consumers, wherein the consumption-related data comprises at least information about a wattage, user settings, past energy consumption, or a consumption prognosis that are associated with the respective consumer,', 'estimate, based on the consumption-related data and using the at least one ...

SYSTEMS AND METHODS FOR AGGREGATION AND INTEGRATION OF DISTRIBUTED GRID ELEMENTS INPUTS FOR PROVIDING AN INTERACTIVE ELECTRIC POWER GRID GEOGRAPHIC VISUALIZATION

Systems and methods for aggregating and integrating distributed grid element inputs are disclosed. A data platform is provided for a distribution power grid. The data platform provides a crowd-sourced gaming system for identifying grid elements and determining dynamic electric power topology. The data platform also provides an interactive interface for displaying a view of a certain area with identified grid elements. The data platform communicatively connects to the identified grid elements, collects data from the identified grid elements, and manages the distribution power grid. 1. A system for aggregating and integrating distributed grid element inputs , comprising:a server platform constructed and configured for network communication with a power distribution grid and at least one user device;at least one grid element operable to electrically connect to the power distribution grid and operable to participate in the power distribution grid;wherein the server platform provides a map layer and a power system model of the power distribution grid via a dynamic graphical user interface (GUI);wherein the dynamic GUI is operable to display a multiplicity of electrical components of the power distribution grid and real-time data related to the multiplicity of electrical components on the map layer of the power distribution grid based on the power system model;wherein the server platform is operable to automatically integrate the at least one grid element into the power system model for the power distribution grid in real-time or near real-time, thereby creating an updated power system model; andwherein the server platform is operable to control the participation of the at least one grid element in the power distribution grid in real-time or near real-time based on the updated power system model, wherein the controlling the participation of the at least one grid element is automated.2. The system of claim 1 , wherein the server platform is operable to provide at least one ...

BROWN OUT PEAK PREDICTION AND CONTROL SYSTEM

A method for predicting when energy consumption on a grid will exceed normal production capacity for buildings within the grid including generating data sets for each of the buildings, each set comprising energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each lag value is different; performing a non-linear parabolic analysis on each set to yield corresponding non-linear parabolic model parameters and a corresponding residual; determining a least valued residual indicating a corresponding energy lag for each of the buildings; using outside temperatures, non-linear parabolic model parameters, and energy lags for all of the buildings to estimate a cumulative energy consumption for the buildings, and to predict the time when energy consumption on the grid will exceed normal production capacity; and receiving the time when energy consumption on the grid will exceed normal production capacity, and preparing and commencing exceptional measures required to manage the energy consumption. 1. A system for predicting a time when energy consumption on a grid will exceed normal production capacity , the system comprising:a building lag optimizer, configured to receive identifiers for buildings, and configured to generate energy use data sets for each of said buildings, each of said energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, wherein said energy consumption values within said each of said energy use data sets are shifted by one of a plurality of lag values relative to said corresponding time and outside temperature values, and wherein each of said plurality of lag values is different from other ones of said plurality of lag values, and configured to perform a non-linear parabolic analysis on ...

MECHANISM FOR GRID PEAK PREDICTION AND CONTROL

A method for predicting when energy consumption on a grid will exceed normal production capacity for buildings within the grid including generating data sets for each of the buildings, each set comprising energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each lag value is different; performing a machine learning model analysis on each set to yield corresponding machine learning model model parameters and a corresponding residual; determining a least valued residual indicating a corresponding energy lag for each of the buildings; using outside temperatures, machine learning model model parameters, and energy lags for all of the buildings to estimate a cumulative energy consumption for the buildings, and to predict the time when energy consumption on the grid will exceed normal production capacity; and receiving the time when energy consumption on the grid will exceed normal production capacity, and preparing and commencing exceptional measures required to manage the energy consumption. 1. A system for predicting a time when energy consumption on a grid will exceed normal production capacity , the system comprising:a building lag optimizer, configured to receive identifiers for buildings, and configured to generate energy use data sets for each of said buildings, each of said energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, wherein said energy consumption values within said each of said energy use data sets are shifted by one of a plurality of lag values relative to said corresponding time and outside temperature values, and wherein each of said plurality of lag values is different from other ones of said plurality of lag values, and configured to perform a machine learning model ...

GRID CONTROL APPARATUS AND METHOD

A method for predicting when energy consumption on a grid will exceed normal production capacity for buildings within the grid including generating data sets for each of the buildings, each set comprising energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each lag value is different; performing a machine learning model analysis on each set to yield corresponding machine learning model model parameters and a corresponding residual; determining a least valued residual indicating a corresponding energy lag for each of the buildings; using outside temperatures, machine learning model model parameters, and energy lags for all of the buildings to estimate a cumulative energy consumption for the buildings, and to predict the time when energy consumption on the grid will exceed normal production capacity; and receiving the time when energy consumption on the grid will exceed normal production capacity, and preparing and commencing exceptional measures required to manage the energy consumption. 1. A system for predicting a time when energy consumption on a grid will exceed normal production capacity , the system comprising:baseline data stores, configured to store a plurality of baseline energy use data sets for buildings corresponding to the grid;a building lag optimizer, configured to receive identifiers for said buildings, and configured to retrieve said plurality of baseline energy use data sets from said baseline data stores for said buildings, and configured to generate energy use data sets for each of said buildings, each of said energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, wherein said energy consumption values within said each of said energy use data sets are shifted by one of a ...

SYSTEMS, APPARATUS, AND METHODS FOR LOAD SHARING BETWEEN ISOCHRONOUS GENERATORS AND BATTERY ENERGY STORAGE SYSTEMS IN ISLANDED MICROGRIDS

Embodiments provide for controlling power production in an islanded microgrid system while maintaining the system frequency and implementing desired load sharing between different types of generating resources and energy storage systems. Embodiments include a controller in communication with the resources to control operation of the resources and operative to determine an optimal load balance based on load and renewable generation forecast information; transmit load and generation schedules to a generation controller that operates the resources in accordance with the schedules; calculate a frequency set point for energy storage resources in the microgrid based on the optimal load balance of the energy storage resources, droop settings, rated power, and the frequency of the energy storage resources; and to control the frequency set point of the energy storage resources to achieve the optimal load balance. Numerous additional aspects are disclosed. 1. A power distribution system comprising:a plurality of power generating and energy storage resources operating within a microgrid;a plurality of power consuming loads within the microgrid;a power transmission network coupling the resources to the loads; anda controller in communication with the resources and configured to control operation of the resources within the microgrid when the microgrid is islanded, wherein the controller is operative to:determine an optimal load balance between the plurality of generation assets and energy storage systems via a microgrid optimization module within the controller based on load and renewable generation forecast information;transmit load and generation schedules from the microgrid optimization module to a generation controller that operates the resources in accordance with the schedules;calculate a frequency set point for energy storage resources in the microgrid based on the optimal load balance of the energy storage resources, the energy storage resources' droop settings, the ...

Energy Control And Storage System For Controlling Power Based On A Load Shape

An energy control and storage system includes an energy monitor, a power controller, an energy storage device, and a computing unit. The energy monitor monitors power provided between an electric distribution system and a load. The power controller exchanges power with the energy monitor and receives power from a power generation system. The energy storage device stores energy received through the power controller. The computing unit receives a load shape from outside the energy control and storage system. The computing unit controls power exchanged between the energy control and storage system and the electric distribution system based on power indicated by the load shape that changes in response to varying conditions affecting the electric distribution system.

METHOD AND APPARATUS FOR MONITORING THE CONDITION OF SUBSYSTEMS WITHIN A RENEWABLE GENERATION PLANT OR MICROGRID

The invention relates to a method and apparatus for monitoring the condition of subsystems within a renewable generation plant or microgrid which are using Supervisory Control and Data Acquisition (SCADA) systems for allowing plant operators to monitor and interact with a plant via human machine interfaces. 1. A method for monitoring the condition of subsystems within a renewable generation plant or microgrid , comprising the steps:acquiring historical data which has previously been measured by one or more field devices connected to a number of input output devices used as part of a Supervisory Control and Data Acquisition (SCADA) system of the plant or microgrid,removing unwanted data from the acquired historical data to obtain a cleaned historical SCADA,using the cleaned historical SCADA data to identify input-output data relations for each subsystem of the plant or microgrid, where an input-output data relation for a given subsystem is a list of all signals contained within the cleaned historical SCADA data which is considered as an input to the subsystem and a list of all signals contained within the cleaned historical SCADA data which is considered as an output to the same subsystem,selecting the combination of input-output data relations within the cleaned historical SCADA data which ensure that the availability of cleaned historical SCADA data for each input-output data relation exceeds a given threshold,training separate data-driven models for each subsystem of the plant or microgrid using the cleaned historical SCADA data, wherein each trained data-driven model is optimized to be able to estimate the outputs of the subsystem from the inputs to the subsystem, where the inputs and outputs to the subsystem are described by the input-output data relations,establish alarm thresholds for each trained data-driven model,acquiring new data from the one or more field devices connected to a number of input output devices used as part of a Supervisory Control and Data ...

BUILDING AUTOMATION SYSTEM

A building automation system that is comprised of a plurality of network connected electrical modules contained in standard receptacle gang boxes for outlets and switches is described. The system includes an AC to DC power supply, a bidirectional solid stale dimmer switch, a microprocessor, and, interconnected sensors that are powered and controlled by microprocessors within the electrical modules. The electrical modules include a user interface for programming and control. The system provides enhanced safety and security, power metering, power control, and home diagnostics. The apparatus replaces existing outlet receptacles and switches with a familiar flush but elegantly updated and seamlessly integrated faceplate. 1. (canceled)2. (canceled)3. (canceled)4. (canceled)5. (canceled)6. (canceled)7. (canceled)8. A building automation system comprising: i) an AC to DC converter that supplies power to a DC load, and,', 'ii) a solid state bidirectional switch having an input terminal connected to the AC source and an output terminal connected to the AC load, and,', 'iii) a microprocessor, having a wireless communication port, a user interface, and, programmed to control the solid state bidirectional switch, and,', 'iv) a sensor selected from at least one of a load identifying sensor and an electrical fault detection sensor, and,, 'a) a plurality of electrical modules that supply electrical power from an AC source with an applied AC voltage and applied AC current to an AC load, each of the electrical modules comprising i) voltage divider connected to the AC power source, and,', 'ii) a first semiconductor switch, having an input and an output, connected through its input to the voltage divider, and,', 'iii) a second semiconductor switch, having an input and an output, whose input is connected to the output of the first switch, and,', 'iv) a storage capacitor connected through a diode to the output of the second switch, and,', 'v) a sense resistor connected between the ...

DISTRIBUTED RESOURCE ELECTRICAL DEMAND FORECASTING SYSTEM AND METHOD

A method is disclosed to predict demand pricing events and forecast changes in price based on data collected from a distributed network of control systems and sensors. In one embodiment, the method uses a distributed network of systems and sensors to collect and monitor data that may be used to predict and preempt electrical grid demand events including black outs and brown outs. Through real-time analysis of data such as voltage, frequency, power, temperature from the distributed systems, and the condition of an electrical grid at a specific Sub-Load Aggregation Point (Sub-LAP) are modeled and determine the value of stored energy, energy generation, and load curtailment in advance of market signals. 1. A method of collecting and analyzing data from distributed resources to predict upcoming energy events on an electrical grid , the method comprising:collecting data from a network of distributed resources that includes control systems and sensors, the collected data stored in one or more memory devices;performing, using one or more processors, analysis on the collected data stored in the one or more memory devices;modelling electrical grid conditions at a sub-load aggregation point of the electrical grid;determining values of stored energy, energy generation, and load curtailment in advance of market signals using the modelled electrical grid conditions;predicting a demand pricing distribution event and forecasting a change in price, supply, or both; andexecuting a modification in electrical consumption that increases energy efficiency based on the predicted demand pricing distribution event.2. The method of claim 1 , wherein the collected data from the distributed network of control systems and/or sensors includes voltage data claim 1 , frequency data claim 1 , power data claim 1 , temperature data claim 1 , or combinations thereof.3. The method of claim 1 , wherein the analysis on the collected data is performed in real-time.4. The method of claim 1 , wherein the ...

TWO-LEVEL PREDICTIVE BASED REACTIVE POWER COORDINATION AND VOLTAGE RESTORATION FOR MICROGRIDS

A computer-implemented method for controlling voltage fluctuations of a microgrid including a plurality of distributed generators (DGs) is presented. The computer-implemented method includes collecting, by a resiliency controller, measurement data from the microgrid, using a model predictive control (MPC) module to distribute reactive power to each of the DGs of the microgrid, and using a droop based controller to guide operation of each of the DGs of the microgrid. 1. A computer-implemented method executed on a processor for controlling voltage fluctuations of a microgrid including a plurality of distributed generators (DGs) , the method comprising:collecting, by a resiliency controller, measurement data from the microgrid;using a model predictive control (MPC) module to distribute reactive power to each of the DGs of the microgrid; andusing a droop based controller to guide operation of each of the DGs of the microgrid.2. The method of claim 1 , wherein the resiliency controller includes at least a voltage control module claim 1 , a frequency control module claim 1 , and a mode switching module.3. The method of claim 2 , wherein the voltage control module is executed by a reactive power distribution algorithm for distributing the reactive power to each of the DGs of the microgrid.4. The method of claim 2 , wherein the frequency control module utilizes the droop based controller to regulate a microgrid frequency.5. The method of claim 2 , wherein the mode switching module controls microgrid operation status transition between grid-tied mode and islanded mode.6. The method of claim 1 , wherein the MPC module computes voltage sensitivity factors to estimate a relationship between reactive power change and voltage change for each of the DGs of the microgrid.7. The method of claim 6 , wherein a prediction model for each of the DGs of the microgrid is estimated to predict a behavior of an energy management system in communication with the microgrid via the resiliency ...

HYBRID MACHINE LEARNING AND SIMULATION BASED SYSTEM FOR FORECASTING IN ELECTRICITY SYSTEMS

A hybrid machine-learning and simulation-based system provides forecasting for an energy system. The system predicts day-ahead and real-time supply and demand, and prices of energy, and generates inputs to an optimization algorithm performed by an Independent System Operator (ISO) that affects behavior of electricity generators and electricity consumers to improve the economic efficiency of electricity grids, and reduce harmful emissions. 1. A method for generating a control input to improve efficiency of an electrical power grid , the method comprising:obtaining a plurality of models for modeling historical data associated with the operation of the electrical power grid;generating, based on the plurality of models, a plurality of input probability distributions representing predicted inputs to a complex system optimization executed by an Independent System Operator (ISO) for scheduling power production and transmission across the electrical power grid according to day-ahead and real-time schedules;simulating execution of the complex system optimization for each of the multiple input probability distributions to generate respective output probability distributions of predicted deltas between the day-ahead and real-time schedules as predicted to be determined by the ISO;determining a control input for submission to the ISO representing nodal corrections to supply and demand that maximize scheduling efficiency based on the probability distributions of the predicted deltas; andsubmitting the control input to the optimization system of the ISO, wherein the ISO controls production schedules of generators in the electric grid based in part on the control input.2. The method of claim 1 , wherein generating the plurality of input probability distributions comprises:performing a conversion of the plurality of models to a set of executable instructions;translating the set of executable instructions to a set of computation graphs; andexecuting the set of computation graphs to ...

SMART BATTERY CIRCUIT

An electrical system may include a power circuit configured to provide a power output, first and second batteries, and first and second switches configured to connect and disconnect the first and second batteries, respectively, to the power output in parallel with one another. The electrical system may also include a controller electrically connected to the first and the second switches, and configured to control operation of the first switch and/or the second switch. The electrical system may also include a load predictor in communication with the controller and configured to predict power demands of an electric load on the power circuit and send a signal indicative of the predicted power demands to the controller, which may activate the first switch and/or the second switch to connect the first battery and/or the second battery to the power output based at least in part on the signal indicative of the predicted load. 1. An electrical system configured to supply electric power to an electric load , the electrical system comprising:a power circuit configured to provide a power output;a first battery electrically connectable to the power output of the power circuit;a first switch configured to selectively electrically connect the first battery to, and disconnect the first battery from, the power output of the power circuit;a second battery electrically connectable to the power output of the power circuit; anda second switch configured to selectively electrically connect the second battery to, and disconnect the second battery from, the power output of the power circuit;an electric load connected to the power output of the power circuit such that at least one of the first battery or the second battery supplies power to the electric load;a controller electrically connected to the first switch and the second switch, the controller being configured to control operation of at least one of the first switch or the second switch, such that when the first switch and the ...

Off-Grid Electrical Power System

Various implementations power homes and businesses without needing to connect to electric utility company-provided power, i.e., they can operate off-grid. Generally the systems includes solar panel racks (e.g., photovoltaic cells on sheets stabilized using ballasts, anchors, or mounting) that generate electrical power used to provide power to a building or that is stored on batteries. The system includes the solar panel racks and an enclosure to be installed at the premises and separate from the building. The enclosure includes the batteries and inverters that are electronically connected to the solar panel racks and batteries. The inverters are configured to convert direct current (DC) electricity from the solar power racks and batteries to alternating current (AC) electricity to provide power to the building via wires electrically connecting the inverters to the main panel of the building. 1. A system for providing electricity to a building , the system comprising:one or more solar panel racks of photovoltaic cells installed on a premises of the building and separate from the building; one or more batteries electrically configured to store energy;', 'one or more inverters electronically connected to the one or more solar panel racks and the one or more batteries and configured to convert direct current (DC) current electricity from the one or more solar panel racks and the one or more batteries to alternating current (AC) electricity; and', 'one or more electrical wires electrically connecting the one or more inverters to a main panel of the building, wherein the main panel is configured to receive the AC electricity from the one or more inverters and provide the received AC electricity to power the building., 'an enclosure installed at the premises and separate from the building, wherein the enclosure at least partially encloses2. The system of claim 1 , wherein the main panel is not connected to any other electricity source.3. The system of further comprising a ...

SYSTEM AND METHOD FOR ESTIMATING AND PROVIDING DISPATCHABLE OPERATING RESERVE ENERGY CAPACITY THROUGH USE OF ACTIVE LOAD MANAGEMENT

Systems for providing operating reserves to an electric power grid are disclosed. In one embodiment, a system comprises at least one power consuming device, at least one controllable device, and a client device constructed and configured in network communication. The at least one controllable device is operably coupled to the at least one power consuming device. The at least one controllable device is operable to control a power flow from the electric power grid to the at least one power consuming device responsive to power control instructions from the client device. Each of the at least one power consuming device has an actual value of power reduced and/or to be reduced based on revenue grade metrology, and confirmed by measurement and verification. The actual value of power reduced and/or to be reduced is a curtailment value as supply equivalence and provides operating reserve for the electric power grid. 120-. (canceled)21. A system for managing power on an electric power grid , comprising:at least one power consuming device and at least one controllable device constructed and configured for network communication;wherein the at least one controllable device is operably coupled to the at least one power consuming device;wherein the at least one controllable device is operable to control a power flow from the electric power grid to the at least one power consuming device responsive to power control instructions;wherein the at least one power consuming device has a value of power reduced based on revenue grade metrology, and confirmed by measurement and verification; andwherein the value of power reduced provides operating reserve for the electric power grid.22. The system of claim 21 , further comprising a remote system control component claim 21 , and wherein the remote system control component is operable for aggregating the value of power reduced and/or to be reduced from each of the at least one power consuming device.23. The system of claim 22 , wherein the ...

MANAGING TIME-SUBSTITUTABLE ELECTRICITY USAGE USING DYNAMIC CONTROLS

A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives. 115-. (canceled)16. A method for regulating and modifying intra-day electrical load , the method comprising the steps of:predicting a day-ahead load profile comprising a predicted fraction of total daily usage in each one of a plurality of time periods; andadjusting time-of-day consumer price incentive values within a predefined range from a baseline price to minimize a deviation of the predicted day-ahead load profile from a desired load profile across the plurality of time periods.17. The method of claim 16 , wherein the method further comprises calculating the predicted fraction of total daily usage in each one of the plurality of time periods as a ratio of a value of a variable comprising a function of a measure of customer utility for a given time period to a sum of values of the variable for all time periods.18. The method of claim 17 , wherein:the variable comprises an exponential function of the measure of customer utility; andthe measure of customer utility comprises a function of at least one ...

Building control system with load curtailment optimization

A system controlling equipment to serve energy loads of a building includes a cost function generator configured to obtain a cost function of decision variables representing an amount of resources consumed or produced by the equipment, an optimizer configured to perform a first optimization of the cost function subject to a first set of constraints defining first values of constraint variables to generate a first result defining first values of decision variables, a constraint modifier configured determine a cost gradient, recommend changes to constraint variables, and modify constraint variables to modified values in response to changes. The optimizer is configured to perform an optimization of the cost function subject to a second set of constraints to generate a second optimization result defining second values of the decision variables. The system includes a controller that operates equipment to consume or produce resources defined by second values of the decision variables.

Building and Building Cluster Energy Management and Optimization System and Method

Disclosed are various embodiments for optimizing energy management. A quantity of renewable power that will be generated by renewable energy generation sources can be forecasted. The energy demand for a building or a cluster of buildings can be forecasted. A pricing model for buying energy from a grid can be determined. A quantity of energy to import from the grid or export to the grid can be scheduled based on the quantity of renewable energy forecasted and the state of charge or health of battery energy storage system, current and future operations of building HVAC, lighting and plug loads system, the forecasted energy demand for the building, and the pricing of the energy from the grid. 1. A system comprising:a data store; and forecast a quantity of renewable power from a plurality of renewable energy generation sources;', 'forecast an energy demand for at least one building;', 'determine pricing for energy on a grid; and', 'schedule a quantity of energy to import to the grid or export from the grid based at least in part on the forecasted quantity of renewable power, the forecasted energy demand, and the real-time pricing for energy on the grid., 'at least one computing device in communication with the data store, the at least one computing device configured to at least2. The system of claim 1 , wherein the at least one computing device is configured to at least determine at least one weather forecast for at least one local area corresponding to at least one of the plurality of renewable energy generation sources claim 1 , wherein the forecasted quantity of renewable power is based at least in part on the at least one weather forecast.3. The system of claim 1 , wherein the at least one computing device is configured to at least determine at least one weather forecast for at least one local area corresponding to the at least one building claim 1 , wherein the forecasted energy demand is based at least in part on the at least one weather forecast.4. The system of ...

DYNAMIC HYBRID CONTROL

The present invention relates to a system and method for controlling a power plant in a marine vessel. The system comprises at least one switchboard further comprising,a plurality of power plant members including, power suppliers such as power generators and energy storage elements, at least one consumer, and a Dynamic Hybrid Control unit comprising a measurement means for monitoring predetermined power plant and vessel related parameters,and a computational means for computing and predicting power and energy requirements in the power plant for varying time spans into the future. The system utilizes said power and energy requirements for pre-planning and allocating of power and energy between said power plant members for minimizing transients, including voltage, frequency variations in the power plant and load variations on the power generators. 1. A system for controlling a power plant in a marine vessel , the power plant comprising;at least one switchboard including at least one switching device, and at least one consumer; andat least one power generator supplying electrical energy to the at least one switchboard; andat least one energy storage device coupled to the switchboard capable of storing excess energy from the switchboard, and capable of sourcing the stored energy through the switchboard to the at least one consumer;wherein the at least one power generator, the at least one energy storage device, and the at least one consumer are coupled to a Dynamic Hybrid Control (DHC) unit, the control unit controlling the flow of energy on the at least one switchboard; measurement means for monitoring predetermined power plant and vessel related parameters; and', 'computational means for computing and predicting power and energy requirements in the power plant for varying time spans into the future, based upon data including, the parameters monitored by the measurement means, pre-determined models, and expected energy flow trends related to the at least one power ...

GRID POWER FOR HYDROCARBON SERVICE APPLICATIONS

A grid power configuration may provide a reliable, efficient, inexpensive and environmentally conscious power source to a site, for example, a remote site such as a well services environment. Grid power may be provided for one or more operations at the site by coupling a main breaker to a switchgear unit coupled to one or more loads. The switchgear unit may be coupled to the main breaker via a main power distribution unit and may also be coupled to one or more loads. At least one of a grid power unit and a switchgear unit may be coupled to the main breaker via the main power distribution unit and may also be coupled to one or more additional loads. A control center may be communicatively coupled to the main breaker or any one or more other components to control one or more operations of the grid power configuration. 1. A grid power system for distribution of electrical power at a site , comprising:a main breaker coupled to an electrical power source;a first switchgear unit coupled to the main breaker;one or more loads coupled to the first switchgear unit; andone or more communications lines coupled to at least one of the first switchgear unit and the main breaker.2. The grid power system of claim 1 , wherein the main breaker comprises at least one of a switchgear and a current monitoring system.3. The grid power system of claim 1 , further comprising a main power distribution unit coupled to the main breaker and the first switchgear unit claim 1 , wherein the main breaker is coupled to the first switchgear unit through the main power distribution unit.4. The grid power system of claim 1 , further comprising a second switchgear unit coupled to the first switchgear unit claim 1 , wherein at least one of the one or more loads are coupled to the first switchgear unit through the second switchgear unit and a second one or more loads coupled to the second switchgear unit.5. The grid power system of claim 1 , further comprising a grid power unit coupled to the first switch ...

ENERGY MANAGEMENT WITH MULTIPLE PRESSURIZED STORAGE ELEMENTS

Disclosed techniques include energy management with multiple pressurized storage elements. Energy is obtained from one or more energy sources. Energy requirements are modeled over a first time period and a second time period. A first subset of the energy that was obtained is allocated for storage in a first energy store based on the modeling. A second subset of the energy that was obtained is allocated for storage in a second energy store based on the modeling, where the second energy store comprises a pressurized storage element. Energy is routed to the first energy store from the second energy store based on the modeling. Recovering energy further includes using the energy routed to the first energy store or the second energy store, based on the modeling. 1. A method for energy management comprising:obtaining energy from one or more energy sources;modeling energy requirements over a first time period and a second time period;allocating a first subset of the energy that was obtained for storage in a first energy store based on the modeling;allocating a second subset of the energy that was obtained for storage in a second energy store based on the modeling, wherein the second energy store comprises a pressurized storage element; androuting energy to the first energy store from the second energy store based on the modeling.2. The method of further comprising recovering energy using the energy routed to the first energy store or the second energy store claim 1 , based on the modeling.3. The method of wherein the recovering energy is within an energy grid.4. The method of further comprising routing energy from the energy that was recovered claim 3 , the energy routed to the first energy store claim 3 , or the energy routed to the second energy store back to an energy grid outside the energy grid.5. The method of wherein the routing to the first energy store claim 4 , the routing to the second energy store claim 4 , the recovering claim 4 , and the routing energy back ...

SOLAR ENERGY METERING, COMMUNICATIONS, AND CONTROL SYSTEM

Methods, systems, and computer readable media are disclosed for monitoring photovoltaic solar systems. In some examples, the system includes a solar power measurement input for coupling to a solar panel system, a measurement circuit configured to measure power produced by the solar panel system using the solar power measurement input, and a data transmission system. The measurement circuit is configured, by virtue of the measurement circuit including electrical components rated to at least a certain tolerance level, to take revenue-grade power measurements from the solar power measurement input with a level of accuracy that meets a national or international metering standard. The data transmission system is configured to transmit the revenue-grade power measurements from the measurement circuit to a remote system. 120-. (canceled)21. A method performed by a control circuit coupled to a measurement circuit and to an inverter system coupled to a solar panel system , the method comprising:measuring power produced by the solar panel system using the measurement circuit, including taking a plurality of revenue-grade power measurements from the solar panel system;transmitting the revenue-grade power measurements from the measurement circuit to a remote system.22. The method of claim 21 , comprising communicating with one or more inverters of the solar panel system.23. The method of claim 22 , comprising communicating with the one or more inverters by way of a power line communications (PLC) interface.24. The method of claim 23 , wherein communicating with the one or more inverters comprises causing the solar panel system to reduce power production of at least part of the solar panel system.25. The method of claim 21 , comprising taking a plurality of consumption measurements using one or more consumption inputs for connecting to a utility line.26. The method of claim 25 , comprising transmitting the consumption measurements to the remote system.27. The method of claim 21 ...

TERMINAL APPARATUS, CONTROL APPARATUS, AND SERVER

Provided is a server () including an attribute information receiving unit () which receives attribute information of an electric power output apparatus () from the electric power output apparatus () having a function of outputting electric power; an output condition transmitting unit () which transmits an output condition determined in accordance with the attribute information to the electric power output apparatus (); a processing result receiving unit () which receives a processing result obtained by performing predetermined processing on output waveform data at the time when the electric power output apparatus () outputs electric power according to the output condition; and an evaluating unit () which evaluates an electric power output performance of the electric power output apparatus () on the basis of the processing result and the output condition. 1. A control apparatus comprising:an attribute information receiving unit which receives attribute information of an electric power output apparatus from the electric power output apparatus having a function of outputting electric power;an output condition transmitting unit which transmits an output condition determined in accordance with the attribute information to the electric power output apparatus;a processing result receiving unit which receives a processing result obtained by performing predetermined processing on output waveform data at the time when the electric power output apparatus outputs electric power according to the output condition; andan evaluating unit which evaluates an electric power output performance of the electric power output apparatus on the basis of the processing result and the output condition.2. The control apparatus according to claim 1 ,wherein, in the output condition, a value of at least one item of active electric power, reactive electric power, a voltage, a frequency, and a change amount of electric power during a predetermined time is specified.3. The control apparatus ...

SYSTEM AND METHOD FOR DISTRIBUTION LOAD FORECASTING IN A POWER GRID

A method for short term load forecasting in a power grid includes obtaining historical data comprising power data, load data and weather data corresponding to time index data recorded from a location in a power distribution network of the power grid. The method further includes receiving power grid data comprising a plurality of power values, and a plurality of weather parameter values corresponding to a plurality of recent time instant values. The method also includes generating modified historical data using statistical techniques to rectify error conditions. The method further includes estimating one or more power values at a future time instant based on the modified historical data and the power grid data. The method also includes balancing load of the power distribution network based on the estimated one or more power values. 1. A method for short term load forecasting in a power grid , comprising:obtaining historical data comprising power data, load data and weather data corresponding to time index data recorded from a location in a power distribution network of the power grid;receiving power grid data comprising a plurality of power values, and a plurality of weather parameter values corresponding to a plurality of recent time instant values;generating modified historical data using statistical techniques to rectify error conditions;estimating one or more power values at a future time instant based on the modified historical data and the power grid data; andbalancing load of the power distribution network based on the estimated one or more power values.2. The method of claim 1 , wherein obtaining the historical data comprises recording a plurality of historical power values and a plurality of historical temperature values at the location corresponding to time index data claim 1 , wherein the time index data comprises hourly time stamp values.3. The method of claim 2 , wherein receiving the historical data comprises recording a correlation between the ...

SYSTEMS AND METHODS FOR DETERMINING AND UTILIZING CUSTOMER ENERGY PROFILES FOR LOAD CONTROL FOR INDIVIDUAL STRUCTURES, DEVICES, AND AGGREGATION OF SAME

A system and method for creating and making use of customer profiles, including energy consumption patterns. Devices within a service point, using the active load director, may be subject to control events, often based on customer preferences. These control events cause the service point to use less power. Data associated with these control events, as well as related environment data, are used to create an energy consumption profile for each service point. This can be used by the utility to determine which service points are the best targets for energy consumption. In addition, an intelligent load rotation algorithm determines how to prevent the same service points from being picked first each time the utility wants to conserve power. 1. A method for determining and using customer energy profiles to manage electrical load control events on a communications network between a server in communication with an electric grid operator or any market participant associated with an electric grid and a client device at each of a plurality of service points , comprising the steps of:generating a customer profile for each of a plurality of customers including at least energy consumption information for each of a plurality of controllable energy consuming devices at an associated service point;storing the plurality of customer profiles in a database;aggregating the plurality of customer profiles into a plurality of groups based on at least one predetermined criterion;generating a candidate list of service points for electrical load control events based on the at least one predetermined criterion;sending a load control event to at least one selected service point in the candidate list of service points in response to an energy reduction request including a target energy savings received from the electric grid operator or any market participant associated with an electric grid via the communications network;generating a curtailment value at each of the plurality of controllable ...

FORECASTING NET LOAD IN A DISTRIBUTED UTILITY GRID

A method for generating a net load forecast for a utility grid, the grid including intermittent distributed energy resources and loads, comprising: defining two or more load forecast zones, each zone being associated with a load profile type and a climate zone type; assigning each of the loads to one of the zones based on the load profile and climate zone types associated with the load; 1. A method for generating a net load forecast for a microgrid by a net load forecasting system , the microgrid including one or more intermittent distributed energy resources and one or more loads , the method comprising:using a processor of the net load forecasting system, defining two or more load forecast zones, each load forecast zone being associated with a load profile type and a climate zone type;assigning each of the one or more loads to one of the two or more load forecast zones based on the load profile type and the climate zone type associated with the load;assigning each of the one or more intermittent distributed energy resources to at least one of the two or more load forecast zones based on the climate zone type associated with the intermittent distributed energy resource;for each load forecast zone, generating an electrical energy consumption forecast for loads assigned thereto using at least one of actual electrical energy consumption measurements for the one or more loads received by the net load forecasting system from at least one respective sensor and virtual electrical energy consumption measurements for the one or more loads, an electric power generation forecast for intermittent distributed energy resources assigned thereto using at least one of actual electric power generation measurements for the one or more intermittent distributed energy resources received by the net load forecasting system from at least one respective sensor and virtual electric power generation measurements for the one or more intermittent distributed energy resources, and a net load ...

GENERATOR CONTROL SYSTEMS AND METHODS

A method of operating a plurality of power sources is provided. The method includes operating a first power source at a first power output and operating a second power source at a second power output. The second power source has a second operational capacity greater than the first operational capacity. First transient zone parameters are determined to operate in a first transient output power range. The first transient zone parameters include a first planned power output and a second planned power output constrained to be less than the first operational capacity. 1. A method of operating a plurality of power sources , the method comprising:operating a first power source in the plurality of power sources at a first power output, the first power source having a first operational capacity;operating a second power source in the plurality of power sources at a second power output, the second power source having a second operational capacity greater than the first operational capacity;harnessing the first power output and the second power output to produce a combined power output for an initial power demand; a first planned power output for the first power source; and', 'a second planned power output for the second power source, the second planned power output being constrained to be less than the first operational capacity, wherein a sum of the first planned power output and the second planned power output is within the first transient output power range;, 'determining first transient zone parameters to operate the plurality of power sources to output power in a first transient output power range that is greater than the combined power output, the first transient zone parameters havingresponsive to detecting a first transient increase to the initial power demand that is within the first transient output power range, operating the first power source at the first planned power output and operating the second power source at the second planned power output to meet the first ...

APPARATUS FOR MANAGING ELECTRIC DEVICES

An apparatus and method for managing electric devices, and a mobile device and a system adapted to the method are provided. The electric device management system includes an electric power supply, a plurality of electric devices that are arranged in an area and receive electric power from the electric power supply, and a device management apparatus for providing information regarding the electric devices and at least one operation schedule of electric devices based on the entire amount of electric power planned to be consumed by the electric devices. 1. An electronic device for controlling supply of electric energy to an external device , the electronic device comprising:a communication interface; anda processor configured to:control the communication interface to receive history information on an amount of electric energy consumed by the external device and setting information on an amount of electric energy set to be consumed by the external device,generate, based on the history information and the setting information, a plurality of operation schedules for operating the external device within the set amount of electric energy,control power consumption of each of the external device based on the one of the plurality of operation schedules.2. The electronic device of claim 1 , wherein the processor is further configured to:control a display to display the plurality of operation schedules,receive a selection, from a user of the electronic device, one of the plurality of operation schedules, andcontrol the external device to operate according to the selected operation schedule.3. The electronic device of claim 1 , wherein the processor is further configured to:receive priority information, the priority information includes priority orders of the external device, andgenerate the plurality of operation schedules based on the history information, the setting information and the priority orders of the external device.4. The electronic device of claim 1 , wherein the ...

Modeling system for energy systems

A system for modeling networks of electricity supply and demand including a first user interface; a second user interface; a database, a memory; and a controller adapted to: receive, via the first user interface, a first request to create a first plan for a first node of a collection of the one or more collections, the first request specifying a domain of the collection, receive plan instructions for the first plan, receive a second user request to create a second plan for a second node of the collection, the second user request specify ing the domain of the collection, receive a plan instruction to interconnect the first node with the second node in the first plan, generate a forecast including a projected value for an energy infrastructure variable using the assumptions provided in the first plan and the second plan, and display the forecast on the first user interface.

SYSTEMS AND METHODS FOR RANDOMIZED, PACKET-BASED POWER MANAGEMENT OF CONDITIONALLY-CONTROLLED LOADS AND BI-DIRECTIONAL DISTRIBUTED ENERGY STORAGE SYSTEMS

The present disclosure provides a distributed and anonymous approach to demand response of an electricity system. The approach conceptualizes energy consumption and production of distributed-energy resources (DERs) via discrete energy packets that are coordinated by a cyber computing entity that grants or denies energy packet requests from the DERs. The approach leverages a condition of a DER, which is particularly useful for (1) thermostatically-controlled loads, (2) non-thermostatic conditionally-controlled loads, and (3) bi-directional distributed energy storage systems. In a first aspect of the present approach, each DER independently requests the authority to switch on for a fixed amount of time (i.e., packet duration). The coordinator determines whether to grant or deny each request based electric grid and/or energy or power market conditions. In a second aspect, bi-directional DERs, such as distributed-energy storage systems (DESSs) are further able to request to supply energy to the grid. 1. A node for requesting electrical power from a coordinator during a communication epoch , comprising:a coordinator interface for communication with the coordinator;a state register for recording a node state; and retrieve a node state from the state register;', 'determine a request probability NT) for the epoch, wherein the request probability corresponds to the retrieved node state, i, and a node condition, T; and', 'request an energy packet from the coordinator according to the request probability., 'wherein the node is configured to2. The node of claim 1 , wherein the node condition claim 1 , T claim 1 , is one or more of a temperature claim 1 , a pressure claim 1 , a revolution rate claim 1 , a state of charge claim 1 , and a time-based deadline.3. The node of claim 2 , wherein the request probability approaches 1 as the condition claim 2 , T claim 2 , reaches a lower threshold claim 2 , T claim 2 , and the request probability approaches 0 when the condition claim 2 , ...

ELECTRIC POWER GRID SUPPLY AND LOAD PREDICTION

An apparatus includes a processor to: assign each value of each set of values of an initial supply meter data and of an initial load meter data to one of multiple buckets based on weather conditions and/or time and date; for each bucket, generate upper and lower bounds of power provision and power consumption values, and use the upper and lower bounds to identify outlier values assigned to the bucket; for each set of values within the initial supply meter data and within the initial load meter data, generate a naive model from the non-outlier values, and use interpolation and the naive model to fill in gaps, thereby generating cleansed supply meter data and cleansed load meter data; and store the cleansed supply meter data and cleansed load meter data together as merged meter data for use in making predictions. 1. An apparatus comprising a processor and a storage to store instructions that , when executed by the processor , cause the processor to perform operations comprising: the initial supply meter data comprises, for each supply meter of multiple supply meters of a power grid, a set of power provision values for a corresponding supply asset at a corresponding supply location; and', 'each power supply value is representative of a measure of power provision taken at a time and date by a supply meter during a predetermined historical time period;, 'retrieve initial supply meter data from the storage, wherein the initial load meter data comprises, for each load meter of multiple load meters of the power grid, a set of power consumption values for a corresponding endpoint asset at a corresponding endpoint location; and', 'each power consumption value is representative of a measure of power consumption taken at a time and date by a load meter during the predetermined historical time period;, 'retrieve initial load meter data from the storage, whereinassign each power provision value of the initial supply meter data to one of multiple buckets based on at least a ...

METHOD FOR MONITORING AND CONTROLLING AN ELECTRICAL NETWORK

A method for monitoring and controlling an electrical network that includes at least one transformer station delimiting a medium-voltage sub-network and a low-voltage sub-network and a plurality of entities that are connected to a determined voltage in the low-voltage sub-network, each entity being a consumer and/or a producer of electricity in the low-voltage sub-network. The method includes determining control data on the production and/or on the consumption of electricity to be applied to one or more entities of the low-voltage sub-network taking into account previously determined production and/or consumption quotas. 1. A method for monitoring and controlling an electrical network that comprises at least one transformer station (P) delimiting a medium-voltage sub-network and a low-voltage sub-network and a plurality of entities (Ei) that are connected to a determined voltage in the low-voltage sub-network , each entity being a consumer and/or a producer of electricity in the low-voltage sub-network , said method being implemented by a monitoring and control system comprising at least one processing unit , wherein said method further comprises:a step of acquiring an amount of electrical power consumed and/or produced by each entity (Ei) of the low-voltage sub-network at successive time intervals;a step of determining, at each new time interval, a production and/or consumption quota (q) to be attributed to each entity (Ei);{'sup': min', 'max, 'sub': cons', 'prod, 'a step of determining a minimum (q(t)) and a maximum (q(t)) production and/or consumption quota value to be observed for each entity (Ei) taking into account the amount of electrical power consumed and/or produced at a time interval (p(t−1), p(t−1)) preceding said new time interval;'}{'img': [{'@id': 'CUSTOM-CHARACTER-00006', '@he': '3.22mm', '@wi': '9.14mm', '@file': 'US20190081478A1-20190314-P00001.TIF', '@alt': 'custom-character', '@img-content': 'character', '@img-format': 'tif'}, {'@id': 'CUSTOM- ...

Power controller apparatus for power system including multiple customer facilities with battery apparatus

A power controller apparatus predicts demand power of a load apparatus, generated power of a power generator apparatus, and inherent stored energy of a battery apparatus. The power controller apparatus calculates excess electric energy and deficient electric energy achieved when the inherent stored energy reaches higher- and lower-limit stored energies, respectively. The power controller apparatus combines at least one first customer facility and at least one second customer facility having the excess electric energy and the deficient electric energy, respectively, and thus, forms at least one group including the first and second customer facilities. For each group, the power controller apparatus determines transmitting power from the first customer facility to the second customer facility, so that stored energy of each of the battery apparatuses of the first and second customer facilities is equal to or less than a first threshold, and equal to or more than a second threshold.

Methods and systems for operating neighbouring microgrids

A method and system for operating neighbouring microgrids is disclosed. The method includes creating a first set of energy management policies associated with a predefined area and a second set of energy management policies associated with a microgrid. The method includes measuring power usage data associated with predefined area and current charge level of batteries within the predefined area. The method further includes determining future power demand of the predefined area, based on predefined analytics performed on the measured power usage data and the current charge level of the batteries. The method includes adapting the data models of predefined area with the data models used in microgrid and utility operations for seamless integration of operations and to optimize overall operations while complying with local, edge and overall policies. The method includes applying the first set of energy management policies within the predefined area based on the determined future power demand.

Method for integrating individual load forecasts into a composite load forecast to present a comprehensive, synchronized and harmonized load forecast

A method is provided for merging different load forecasts for power grid centers. Area load forecasts are accepted from load forecast engines. A relational database saves load forecast engine data. A comprehensive operating plan integrates individual load forecasts into a composite load forecast to present a comprehensive, synchronized and harmonized load forecast.

System and Method for Aggregation of Controllable Distributed Energy Assets

A system and method is provided that facilitates aggregation of a plurality of controllable distributed energy resources (DERs). A processor may be configured to determine DER forecasts including non-influenced power profile forecasts for a plurality of DERs that include different types of load assets that consume power, for when the DERs are not influenced via dispatches from the system, based at least in part on different physics characteristics associated with the different types of the DERs. The processor may also determine a combined reserve capacity forecast for aggregated DERs including both power assets that output power and the different types of load assets, based at least in part on an aggregation of the non-influenced power profile forecasts. In addition, the processor may control at least some of the plurality of DERs based at least in part on the combined reserve capacity forecast. Also in some examples, the processor may output a bid to an energy trading market system for a reserve capacity request for the aggregated DERs as an individual asset that corresponds to the determined combined reserve capacity forecast. 1. A system for aggregation of a plurality of controllable distributed energy resources (DERs) comprising: determine DER forecasts including non-influenced power profile forecasts for a plurality of DERs that include different types of load assets that consume power, for when the DERs are not influenced via dispatches from the system, based at least in part on different physics characteristics associated with the different types of the DERs;', 'determine a combined reserve capacity forecast for aggregated DERs including both power assets that output power and the different types of load assets, based at least in part on an aggregation of the non-influenced power profile forecasts; and', 'control at least some of the plurality of DERs based at least in part on the combined reserve capacity forecast., 'at least one processor configured to2. ...

CONTROL APPARATUS, CONTROL METHOD, AND POWER STORAGE CONTROL APPARATUS

[Object] To provide a control apparatus capable of optimum power interchange in the whole of a community including a plurality of customers. [Solution] There is provided a control apparatus including: an acquisition section configured to acquire information regarding consumption of power from a plurality of nodes that store and consume power; and a control section configured to use the information regarding consumption of power to generate data regarding target power storage in each of the nodes, the data being provided to the node. 1. A control apparatus comprising:an acquisition section configured to acquire information regarding consumption of power from a plurality of nodes that store and consume power; anda control section configured to use the information regarding consumption of power to generate data regarding target power storage in each of the nodes, the data being provided to the node.2. The control apparatus according to claim 1 , whereinthe control section generates data regarding power distribution between power storage apparatuses in the respective nodes as the data regarding target power storage, the power storage apparatuses storing power.3. The control apparatus according to claim 1 , whereinthe acquisition section acquires information regarding a power consumption history from each of the nodes as the information regarding consumption of power.4. The control apparatus according to claim 1 , whereinthe acquisition section acquires information regarding a power consumption prediction from each of the nodes as the information regarding consumption of power.5. The control apparatus according to claim 1 , whereinthe control section uses the information regarding consumption of power and the data regarding target power storage to determine effectiveness of the data regarding target power storage, the data being provided to each of the nodes in past.6. The control apparatus according to claim 5 , whereinwhen the control section determines that the data ...

BUILDING ENERGY STORAGE SYSTEM WITH PLANNING TOOL

An energy storage system for a building includes a battery asset configured to store electricity and discharge the stored electricity for use in satisfying a building electric load. The system includes a planning tool configured to identify one or more selected functionalities of the energy storage system and generate a cost function defining a cost of operating the energy storage system over an optimization period. The cost function includes a term for each of the selected functionalities. The planning tool is configured to generate optimization constraints based on the selected functionalities, attributes of the battery asset, and the electric energy load to be satisfied. The planning tool is configured to optimize the cost function to determine optimal power setpoints for the battery asset at each of a plurality of time steps of the optimization period. 120-. (canceled)21. An energy storage system for a building , the system comprising:a battery asset configured to store energy for satisfying a building energy load; and estimate the building energy load to be satisfied for a time step during an optimization period based on one or more functions of the energy storage system;', 'generate a cost function corresponding to a cost of operating the energy storage system over the optimization period based on one or more battery power setpoints for the battery asset;', 'apply one or more optimization constraints to the cost function to determine optimal battery power setpoints for the time step, the optimization constraints based on the estimated building energy load; and', 'generate a control signal configured to control the energy stored to or discharged from the battery asset based on the optimal battery power setpoints., 'an energy storage controller including a computer readable medium and a processor, the energy storage controller including computer executable instructions stored in the computer readable medium for implementing a resource allocation planning tool ...

ELECTRIC LOADSHAPE FORECASTING BASED ON SMART METER SIGNALS

During operation, the system receives a set of input signals containing electrical usage data from a set of smart meters, wherein each smart meter gathers electrical usage data from a customer of the utility system. Next, the system uses the set of input signals to train an inferential model, which learns correlations among the set of input signals, and uses the inferential model to produce a set of inferential signals, wherein an inferential signal is produced for each input signal in the set of input signals. The system then uses a Fourier-based technique to decompose each inferential signal into deterministic and stochastic components, and uses the deterministic and stochastic components to generate a set of synthesized signals, which are statistically indistinguishable from the inferential signals. Finally, the system projects the set of synthesized signals into the future to produce a forecast for the electricity demand. 1. A method for forecasting electricity demand for a utility system , comprising:receiving a set of input signals containing electrical usage data from a set of smart meters, wherein each smart meter in the set gathers electrical usage data from a customer of the utility system;using the set of input signals to train an inferential model, which learns correlations among the set of input signals;using the inferential model to produce a set of inferential signals, wherein the inferential model produces an inferential signal for each input signal in the set of input signals;using a Fourier-based decomposition-and-reconstruction technique, which decomposes each signal in the set of inferential signals into deterministic and stochastic components, and uses the deterministic and stochastic components to generate a set of synthesized signals, which are statistically indistinguishable from the inferential signals; andprojecting the set of synthesized signals into the future to produce a forecast for the electricity demand for the utility system.2. The ...

ENERGY CONTROL SYSTEM EMPLOYING AUTOMATED VALIDATION, ESTIMATION, AND EDITING RULES

An energy control system includes a facility model processor, a post VEE readings data stores, a VEE configuration engine, and a global model module. The facility model processor employs interval based energy consumption streams corresponding to a facility to develop and maintain weather-normalized baseline energy consumption data for the facility. The post VEE readings data stores tagged energy consumption data sets that are each associated with a corresponding one of said interval based energy consumption streams, each of said tagged energy consumption data sets comprising groups of contiguous interval values tagged as having been validated, wherein said groups correspond to correct data. The VEE configuration engine reads the post VEE readings data stores upon initiation of an event and, for the each of the tagged energy consumption data sets, creates anomalies having different durations using only the groups of contiguous interval values, and generates estimates for the anomalies by employing estimation techniques and, for each of the different durations, selects one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the interval based energy consumption streams. The global model module receives the weather-normalized baseline energy consumption data and post VEE readings data, and develops an energy consumption model based on the weather-normalized baseline energy consumption data and the post VEE readings data, and controls overall energy consumption within the facility based on the energy consumption model by scheduling run times of one or more building elements. 1. An energy control system , comprising:a facility model processor, that receives interval based energy consumption streams corresponding to a facility, and that develops and maintains weather-normalized baseline energy consumption data for said facility, wherein said weather-normalized baseline energy ...

METHOD AND APPARATUS FOR AUTOMATED BUILDING ENERGY CONTROL

An energy control system includes training data stores, a facility model processor, a post VEE readings data stores, a VEE configuration engine, and a global model module. The facility model processor employs interval based energy consumption streams corresponding to a facility to develop and maintain weather-normalized baseline energy consumption data for the facility. The post VEE readings data stores tagged energy consumption data sets that are each associated with a corresponding one of said interval based energy consumption streams, each of said tagged energy consumption data sets comprising groups of contiguous interval values tagged as having been validated, wherein said groups correspond to correct data. The VEE configuration engine reads the post VEE readings data stores upon initiation of an event and, for the each of the tagged energy consumption data sets, creates anomalies having different durations using only the groups of contiguous interval values, and generates estimates for the anomalies by employing estimation techniques and, for each of the different durations, selects one of the estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the interval based energy consumption streams. The global model module receives the weather-normalized baseline energy consumption data and post VEE readings data, and develops an energy consumption model based on the weather-normalized baseline energy consumption data and the post VEE readings data, and controls overall energy consumption within the facility based on the energy consumption model by scheduling run times of one or more building elements. 1. An energy control system , comprising:training data stores, that provides first interval based energy consumption streams corresponding to a facility;a facility model processor, coupled to said training data stores, that receives said first interval based energy consumption streams and ...

A method and system for optimizing and predicting demand response

The present invention provides a method for forecasting load and managing a control plan for households having electric appliances wherein the control plan determines the activation of the electric appliances at pre-defined control periods. The method comprises the steps of: pre-processing per meter of households historical consumption of electric appliances at control period in relation to time dependent environmental parameters and household profiles and control program parameters, creating forecast model of consumption of each controlled appliance during next control plan period based on said pre-processing enabling to simulate control program parameters according to predefined goals parameter including at least target cost or consumption, determining control plan parameters for incoming control period, based on forecast models using defined goal parameters and sending control instructions to each group member control module based on determined control plan parameters, time dependent parameters and measured environmental parameters within the household.

SYSTEM AND METHOD FOR OPTIMAL LOAD AND SOURCE SCHEDULING IN CONTEXT AWARE HOMES

A controller for controlling energy consumption in a home includes a constraints engine to define variables for multiple appliances in the home corresponding to various home modes and persona of an occupant of the home. A modeling engine models multiple paths of energy utilization of the multiple appliances to place the home into a desired state from a current context. An optimal scheduler receives the multiple paths of energy utilization and generates a schedule as a function of the multiple paths and a selected persona to place the home in a desired state. 1. (canceled)2. A controller for controlling energy consumption in a home , the controller comprising:a constraints engine to define sets of constraints for multiple appliances in the home corresponding to various home modes, convenience of service, and persona of an occupant of the home;a modeling engine to model multiple paths of energy utilization of the multiple appliances to place the home into a desired state from a current context;an optimal scheduler to receive the multiple paths of energy utilization, to generate a schedule as a function of the multiple paths and a selected persona with corresponding sets of constraints to place the home in a desired state, and to suggest a plurality of load schedules and set points for optimal energy conservation; andan occupancy module to determine whether or not the home is currently occupied;wherein the occupancy module infers occupancy from an overall energy utilization signature, wherein the optimal scheduler automatically resets at least one thermostat mode of the home and automatically adjusts at least one thermostat setting of the home, in response to the occupancy module determining that the home is not occupied; andwherein the controller correlates and maps fuzzy data to parameters that are used for scheduling and controlling operation of home loads.3. The controller of wherein the constraints engine comprises variables for each appliance and subsystem under ...

Controlling Devices Using a Rich Representation of their Environment

A technique is described herein for using computing technology to intelligently manage the consumption of a resource in a physical environment and/or controlling the physical environment in other ways. The technique maintains environment information that describes entities within the physical environment, together with the relationships among the entities. The technique leverages the environment information and collected sensor data to generate forecast data using one or more machine-trained models. The technique then leverages the environment information, sensor data, and forecast data to generate a control plan. The control plan provides a strategy for controlling the physical environment that satisfies a specified optimization objective. In one use case, the technique contributes to the efficient consumption of power provided by a distribution system by avoiding consumption of power in periods in which the distribution system is expected to experience high loads. 1. One or more computing devices for controlling a physical environment , comprising:hardware logic circuitry, the hardware logic circuitry corresponding to: (a) one or more hardware processors that perform operations by executing machine-readable instructions stored in a memory, and/or (b) one or more other hardware logic components that perform operations using a task-specific collection of logic gates, the operations including: first information which describes entities associated with the physical environment, the entities including at least: one or more physical spaces; one or more devices; one or more sensors; and one or more people who interact with the physical environment; and', 'second information which describes relations among the entities in the physical environment;, 'storing environment information in one or more data stores that describes the physical environment to be controlled, the environment information includingreceiving sensor data from one or more sensors provided by the physical ...

ELECTRICAL ENERGY STORAGE SYSTEM WITH BATTERY POWER SETPOINT OPTIMIZATION BASED ON BATTERY DEGRADATION COSTS AND EXPECTED FREQUENCY RESPONSE REVENUE

An electrical energy storage system includes a battery configured to store and discharge electric power to an energy grid, a power inverter configured to use battery power setpoints to control an amount of the electric power stored or discharged from the battery, and a controller. The controller is configured to generate optimal values for the battery power setpoints as a function of both an estimated amount of battery degradation and an estimated amount of frequency response revenue that will result from the battery power setpoints. 1. An electrical energy storage system comprising:a battery configured to store and discharge electric power to an energy grid;a power inverter configured to use battery power setpoints to control an amount of the electric power stored or discharged from the battery; anda controller configured generate optimal values for the battery power setpoints as a function of both an estimated amount of battery degradation and an estimated amount of frequency response revenue that will result from the battery power setpoints.2. The system of claim 1 , the controller is configured to estimate the amount of battery degradation that will result from battery power setpoints using a battery life model.3. The system of claim 2 , wherein the battery life model is a parametric model comprising a regression coefficient for each of the plurality of variables in the battery life model;wherein the controller is configured to perform a curve fitting process to determine values for the regression coefficients.4. The system of claim 3 , wherein the curve fitting process comprises:providing the power inverter with known battery power setpoints;determining values for each of the variables in the battery life model based on the known battery power setpoints;measuring an amount of battery degradation that results from the known battery power setpoints; andusing the values for each of the variables in the battery life model and the measured amount of battery ...

Systems and methods for forward market price prediction and sale of energy storage capacity

Systems and methods for forward market price prediction and sale of energy storage capacity are disclosed. An example transaction-enabling system may include a fleet of machines having an aggregate energy storage capacity; and a controller, comprising: an external data circuit structured to monitor an external data source and collect data from the external data source; an expert system circuit structured to predict a forward market price for energy storage capacity based on the collected data and the aggregate energy storage capacity; and a smart contract circuit structured to automatically sell at least a subset of the aggregate energy storage capacity on a forward market for energy storage capacity in response to the predicted forward market price.

ENERGY-PROFILE COMPENSATION USING FEED-FORWARD WITH A WIRED OR WIRELESS LINK

An energy storage assembly includes an energy storage unit. A supervisor is operable to determine a power reference set point based upon a cost function. A storage unit controller is configured to control the energy storage unit to provide electric energy to at least one load based upon a power reference input that is based upon the power reference set point and at least one dynamically changing power profile from the at least one load. 1. An energy supply assembly comprising:an energy storage unit;a supervisor operable to determine a power reference set point;a storage unit controller configured to control said energy storage unit to provide electric energy to at least one load based upon a power reference input that is based upon said power reference set point and at least one dynamically changing power profile from said at least one load.2. The energy storage assembly as recited in claim 1 , wherein said supervisor is operable to determine said power reference set point based on a cost function.3. The energy storage assembly as recited in claim 1 , wherein said load communicates said power profile to said storage unit controller wirelessly.4. The energy storage assembly as recited in claim 1 , wherein said power profile indicates variations in power draw by said at least one load claim 1 , the variations occurring within seconds.5. The energy storage assembly as recited in claim 1 , wherein said load is an elevator.6. The energy storage assembly as recited in claim 5 , wherein said elevator comprises an elevator controller claim 5 , and said elevator controller is operable to communicate said power profile to said storage unit controller.7. The energy storage assembly as recited in claim 1 , wherein said supervisor determines said power reference set point based on minimizing fluctuations in power drawn from a supply grid.8. The energy assembly as recited in claim 7 , wherein there are a plurality of loads;there are a plurality of dynamically changing power ...

FORWARD MARKET RENEWABLE ENERGY CREDIT PREDICTION FROM AUTOMATED AGENT BEHAVIORAL DATA

Systems and methods for prediction of forward market renewable energy credit from automated agent behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market, and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market, based in part on an automated agent behavior collected from an automated agent behavioral data source. The example system may further include wherein the energy credit comprises a renewable energy credit from a renewable energy system, and a smart contract circuit to sell the renewable energy credit or purchase the renewable energy credit on the forward energy credit market in response to the forecasted forward market price. 1. A transaction-enabling system comprising:a forward market circuit structured to access a forward energy credit market;a market forecasting circuit structured to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market;wherein the forecast is based at least in part on an automated agent behavior collected from at least automated agent behavioral data source;wherein the energy credit comprises a renewable energy credit from at least one renewable energy system; anda smart contract circuit structured to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price of the energy credit.2. The system of claim 1 , wherein the market forecasting circuit further comprises at least one of a machine learning component claim 1 , an artificial intelligence component claim 1 , or a neural network component.3. The system of claim 1 , wherein at least of the automated agent behavior comprises behavior of at least one of a bot claim 1 , a crawler claim 1 , or a dialog manager.4. ...

PHOTOVOLTAIC ENERGY SYSTEM WITH STATIONARY ENERGY STORAGE CONTROL AND POWER FACTOR CORRECTION

An energy storage system includes a photovoltaic energy field, a stationary energy storage device, an energy converter, and a controller. The photovoltaic energy field converts solar energy into electrical energy and charges the stationary energy storage device with the electrical energy. The energy converter converts the electrical energy stored in the stationary energy storage device into AC power at a discharge rate and supplies a campus with the AC power at the discharge rate. The controller predicts a required load of the campus and an electrical generation of the photovoltaic energy field across a time horizon and optimizes a cost function subject to a set of constraints to determine a discharge rate of the AC power to achieve a desired power factor. At least one of the set of constraints applied to the cost function ensures that the energy converter can convert the electrical energy stored in the stationary energy storage device into AC power having the determined power factor and discharge rate. 1. An energy storage system comprising:a photovoltaic energy field configured to convert solar energy into electrical energy;a stationary energy storage device;an energy converter configured to convert the electrical energy from the photovoltaic energy field and store the converted energy in the stationary energy storage device at a charge rate, convert the electrical energy stored in the stationary energy storage device into AC power and discharge the AC power a discharge rate, and supply a campus with the AC power at the discharge rate;a point of interconnection configured to receive power from an energy grid, the energy converter, and the photovoltaic energy field and configured to supply power to the campus; and predict a load of the campus over a time horizon;', 'predict an energy generation of the photovoltaic energy field over the time horizon;', 'generate a cost function defining a cost of supplying the power to the campus over the time horizon;', 'identify a ...

ENERGY MANAGEMENT METHOD AND SYSTEM FOR ENERGY SUPPLY SYSTEM

An energy management method for an energy supply system which includes at least an energy storage, a load and a generator with power dependent efficiency is provided. The method includes: calculating two time variant parameters indicating a discharge lower limit and an upper charge limit, respectively, of the energy storage, based on optimization using different kinds of prediction; and controlling, in a real time manner, charging and discharging of the energy storage and operation of the generator, with a certain priorities given to various power sources, such that state of charge of the energy storage is controlled within a region between the discharge lower limit and the upper charge limit. When a grid power is available, blackout duration probability function is predicted and used to calculate the discharge lower limit and the upper charge limit. 1. An energy management method for an energy supply system which includes at least an energy storage , a load and a generator with power dependent efficiency , the method comprising:calculating two time variant parameters indicating a discharge lower limit and an upper charge limit, respectively, of the energy storage, based on optimization using different kinds of prediction; andcontrolling, in a real time manner, charging and discharging of the energy storage and operation of the generator, with a certain priorities given to various power sources, such that state of charge of the energy storage is controlled within a region between the discharge lower limit and the upper charge limit.2. The method according to further comprising:when a grid power is available to the energy supply system, considering a possible duration of blackout in the grid power to predict a blackout duration probability function,wherein the two time variant parameters are calculated by using the blackout duration probability function.3. The method according to claim 2 , wherein the two time variant parameters are calculated using unnecessary cost ...

OPERATING A SOLAR POWER GENERATING SYSTEM

According to some embodiments, the present disclosure may include a method of analyzing solar power forecasts that may include obtaining a test dataset of historical irradiance at a location of a solar power generating system, and normalizing the test dataset based on a clear sky model at the location. The method may also include clustering the test dataset into multiple weather classes that each include a set of characteristics, obtaining a forecast of irradiance at the solar power generating system, and classifying the forecast into one of the weather classes, and determining confidence intervals of the forecast based on the set of characteristics of the one of the plurality of weather classes. The method may additionally include, based on the confidence intervals of the forecast, performing one of increasing output or decreasing output of a source of energy alternative to solar energy. 1. A method of evaluating solar energy forecasts , the method comprising:generating power at a virtual power plant, the virtual power plant including at least one solar power generating device;obtaining a test dataset of historical irradiance at a location of the solar power generating device;normalizing the test dataset based on a clear sky model of irradiance at the location by dividing a point in the test dataset at a given time by a clear sky irradiance at the given time;plotting a histogram of the test dataset, the histogram relating a probability density of clear sky indexes;fitting a histogram curve to the histogram, the histogram curve including a combination of class-specific curves for each of a plurality of classes;extracting the class-specific curves for each of the classes;clustering each point in the test dataset with one of the classes based on how closely each point fits to the class-specific curves;obtaining a forecast of irradiance for a time at the solar power generating system;finding a nearest neighbor of the forecast in the test dataset based on similarities ...

UTILITY NETWORK MONITORING DEVICE

A device for monitoring a component of a utility network configured to access characteristic data associated with the component and a geographical region where the component is located, generate an operation model for the component, access sensor data for the component, identify a physical strain on the component, identify whether operation of the component is affected by the physical strain, and update the operation model for the component. 1. A device for monitoring a component of a utility network , the device configured to:access characteristic data associated with the component and a geographical region where the component is located;generate an operation model for the component based on the characteristic data;access sensor data for the component;identify a physical strain on the component based on the sensor data;identify whether operation of the component is affected by the physical strain; andupdate the operation model for the component based on whether the operation of the component is affected by the physical strain.2. The device of claim 1 , wherein the operation model of the component has a set of operating and structural conditions.3. The device of claim 2 , further configured to:identify that the physical strain on the component satisfies at least one condition from the set of operating and structural conditions; andsend a notification indicating that the at least one condition is satisfied.4. The device of claim 2 , wherein when the physical strain does not satisfy a first corresponding condition from the set of operating and structural conditions claim 2 , but the operation of the component is affected by the physical strain claim 2 , the first corresponding condition is adjusted and when the physical strain satisfies a second corresponding condition claim 2 , but the operation of the component is not affected by the physical strain claim 2 , the second corresponding condition is adjusted.5. The device of claim 1 , wherein the operation model ...

Schedule Impact Map

Methods, systems, and apparatus are disclosed which include receiving an indication of a floor plan of a building project; receiving an indication of an inspection report, the inspection report associated with an inspection type; identifying a forecast date associated with each room in the floor plan, the forecast date indicating when an inspection type associated with the respective room is to be completed; for each room, determining how close each room's forecast date is to a present date, and if the room's forecast date is past the present date; generating a visual map of the floor plan; associating a color of each room in the floor plan based on the determining; and providing the visual map with the associated color of each room for display. 115-. (canceled)16. A computer-implemented method comprising:receiving, by a processor, information defining a floor plan of a building project, the floor plan comprising a plurality of rooms;identifying, by the processor, for each of the plurality of rooms in the floor plan, a respective completion date indicating, for each of two or more activities associated with the respective room, when each of the two or more activities is to be completed;receiving from a user a selection of a milestone from among milestones associated with rooms in the plurality of rooms, the milestone associated with the two or more activities associated with the respective room;identifying, by the processor, for each of the plurality of rooms in the floor plan, a respective specified date indicating when the milestone is to be completed, the identifying being based on the completion dates of the two or more activities associated with the respective room;for each room in the plurality of rooms, determining, by the processor, a time period between the identified specified date and a present date;generating, by the processor, a visual map of the floor plan for each room in the plurality of rooms; determining, by the processor, a color characteristic of ...

Electric power system control with measurement of energy demand and energy efficiency using t-distributions

A method, apparatus, system and computer program is provided for controlling an electric power system, including implementation of voltage measurement using paired t statistical analysis applied to calculating a shift in average usage per customer from one time period to another time period for a given electrical use population where the pairing process is optimized using a novel technique to improve the accuracy of the statistical measurement.

SUPPORTING ELECTRICAL UTILITY PERFORMANCE WITH DISPATHABLE DISTRIBUTED ENERGY RESOURCES

Distributed energy resources are validated by dispatching a distributed energy resources individually in known ambient conditions and monitoring the particular effect of dispatch to then establish a database of performance for multiple different distributed energy resources. The distributed energy resources can be permanently monitored to further build up this database and to verify that the distributed energy resource 1s performing consistent with its validation or other expected performance. Distributed energy resources of a slow responding variety and a fast responding variety can be paired together and dispatched together, so that the paired fast responding and slow responding distributed energy resources mimic a large fast responding distributed energy resource. The benefits of a high capacity fast responding distributed energy resource is thus provided, such as for the load shedding and grid support benefits thereof. 1: A method for supporting electric utility performance with dispatchable distributed energy resources , including the steps of:identifying a plurality of dispatchable energy resources, the dispatchable energy resources each receiving or supplying power with a common electric utility power supply system;coupling the distributed energy resources to the electric utility in a manner providing ongoing monitoring of distributed energy resource performance;dispatching at least one of the distributed energy resources when needed for electric utility support;monitoring distributed energy resource performance after said dispatching step; andproviding incentives based on distributed energy resource performance from said monitoring step.2: The method of including the further step of evaluating at least one of the distributed energy resources before said dispatching step to determine an expected benefit to be provided to the electric utility when the distributed energy resource is dispatched.3: The method of wherein said evaluating step includes the steps of ...

Model Predictive Controller for Autonomous Hybrid Microgrids

A control system is disclosed with a control strategy for autonomous multi-bus hybrid microgrids based on Finite-Control-Set Model Predictive Control (FCS-MPC). The control loops are expedited by predicting the future states and determining the optimal control action before switching signals are sent to converters/inverters. The method eliminates PI and PWM components, and offers 1) accurate PV maximum power point tracking (MPPT) and battery charging/discharging control, 2) DC and AC bus voltage/frequency regulation, and 3) precise and flexible power sharing control among multiple DERs. 1. A method for controlling a microgrid , comprising:collecting power data from a multi-bus hybrid microgrid with at least a converter or an inverter;predicting one or more future states of the microgrid from present and past states of the microgrid; anddetermining a predetermined control action before switching signals are sent to the converter or inverter using Finite-Control-Set Model Predictive Control (FCS-MPC) during autonomous mode by switching a circuit breaker at a point of common coupling (PCC).2. The method of claim 1 , comprising minimizing a cost function before sending control commands to minimize error between an objective and a reference target value.3. The method of claim 1 , comprising determining the FCS-MPC based on a discrete-time state space of a converter/inverter as:{'br': None, 'i': x', 'k+', 'Ax', 'k', 'Bu', 'k, '(1)=()+()'}{'br': None, 'i': y', 'k+', 'Cx', 'k', 'Du', 'k, '(1)=()+()'}4. where x is the state variable matrix claim 2 , u is the control input claim 2 , y is the output claim 2 , k denotes the present discrete control step sequence claim 2 , and A claim 2 , B claim 2 , C claim 2 , D are the state-space matrices. The method of claim 2 , wherein the cost function embodies reference values claim 2 , control actuations claim 2 , and future states and then minimized subject to certain predefined constraints.5. The method of claim 2 , wherein the cost ...

METHOD AND APPARATUS FOR FACILITATING THE OPERATION OF AN ON-SITE ENERGY STORAGE SYSTEM TO CO-OPTIMIZE BATTERY DISPATCH

Various embodiments are provided for facilitating the operation and control of a fleet of on-site energy assets and optimizing energy dispatch across the fleet, thereby facilitating the use of the on-site energy assets instead of grid-supplied electric consumption. An example system may comprise a central platform and a plurality of on-site gateway devices configured to perform on-site asset control. An example method may comprise receiving a service availability call, performing fleet-level optimization, generating a set of site-level schedules, and causing, as a function of the site-level schedules, real-time on-site asset control. Other embodiments provide for determining a location of each grid-connected energy consumer at which to reduce grid-supplied energy consumption, determining an amount of a reduction of grid-supplied energy consumption, and transmitting a signal to each corresponding gateway device located at the determined location, the signal comprising data indicative of instructions for performing on-site energy dispatch. 19.-. (canceled)10. A method comprising:calculating site load curves indicating predicted site load of a customer at each of a plurality of periods of a day as a function of one or more of historical meter and billing data, in consideration of other existing on-site generation resources, and market or weather data, for each of one or more customers with on-site energy assets within a given portfolio aggregation;performing portfolio-level optimization as a function of the site load curves and a tariff library, the portfolio-level optimization configured to segment the site load curves in accordance with tariff periods and other site-level restrictions, and for each segment, calculate and output a power consumption maximum threshold;generating a set of site-level schedules, as a function of the portfolio-level optimization and one or more site restrictions, the set of site-level schedules configured to be provided to a gateway ...

CENTRAL PLANT OPTIMIZATION SYSTEM WITH STREAMLINED DATA LINKAGE OF DESIGN AND OPERATIONAL DATA

A central plant optimization system for designing and operating a central plant includes a planning tool, a central plant controller, and an optimization platform. The planning tool is configured to generate a model of the central plant. The central plant controller is configured to receive the model of the central plant from the planning tool and combine the model of the central plant with timeseries data including a timeseries of predicted energy loads to be served by equipment of the central plant. The optimization platform is configured to receive the model of the central plant combined with the timeseries data, construct an optimization problem using the model of the central plant and the timeseries data, solve the optimization problem to determine an optimal allocation of the energy loads across the equipment of the central plant, and provide optimization results to the central plant controller. The central plant controller is configured to use the optimization results to operate the equipment of the central plant to achieve the optimal allocation of the predicted energy loads. 1. A central plant optimization system for designing and operating a central plant , the central plant optimization system comprising:a planning tool configured to generate a model of the central plant, the model of the central plant comprising one or more subplant models representing equipment of the central plant and one or more element links representing connections between the equipment of the central plant;a central plant controller configured to receive the model of the central plant from the planning tool and combine the model of the central plant with timeseries data comprising a timeseries of predicted energy loads to be served by the equipment of the central plant; receive, from the central plant controller, the model of the central plant combined with the timeseries data;', 'construct an optimization problem using the model of the central plant and the timeseries data;', ' ...

POWER DISTRIBUTION SYSTEM STATE ESTIMATION DEVICE AND POWER DISTRIBUTION SYSTEM STATE ESTIMATION METHOD

The power distribution system management device according to the present invention includes a communication unit that receives measurement values from a plurality of high-voltage sensors that each measure a voltage and a power flow of a power distribution line in a high-voltage system, and receives, from a plurality of smart meters that each measure an amount of power, information on the amount of power; and a voltage control unit that sections the power distribution line between two high-voltage sensors among the plurality of high-voltage sensors into a plurality of sections to estimate a voltage distribution along the power distribution line based on two of the measurement values received from the two high-voltage sensors and on the amount of power of each of the sections. 1. A power distribution system state estimation device comprising:a processor to execute a program; anda memory to store the program which, when executed by the processor, performs processes of,receiving measurement values from a plurality of high-voltage sensors that each measure a voltage and a power flow of a power distribution line in a high-voltage system, and receiving, from a plurality of smart meters that each measure an amount of power, information on the amount of power; andsectioning the power distribution line between two high-voltage sensors among the plurality of high-voltage sensors into a plurality of sections, calculating an amount of load of each of the sections based on two of the measurement values received from the two high-voltage sensors and on the amount of power of each of the sections, and estimating a voltage distribution along the power distribution line based on the amount of load of each of the sections.2. The power distribution system state estimation device according to claim 1 , wherein claim 1 , when the voltage distribution estimated and the voltages measured by the two high-voltage sensors are inconsistent with each other claim 1 , the processor calculates the ...

POWER CONTROL APPARATUS, POWER CONTROL METHOD, AND RECORDING MEDIUM

A power control apparatus has a peak cut prediction unit that predicts a period of time to impose a restriction on power supply from a power system to a consumer based on a predetermined condition, a threshold setting unit that sets a predetermined threshold such that a power supply amount from the power system to the consumer does not exceed the threshold in the period of time predicted by the peak cut prediction unit, and a charge/discharge control command unit that stops power supply from the power system to the consumer and causes a power storage device to be discharged by an amount of demand power exceeding the threshold when demand power of the consumer reaches the threshold in the period of time predicted by the peak cut prediction unit. 1. A power control apparatus comprising:a peak cut prediction unit that predicts a period of time to impose a restriction on power supply from a power system to a consumer based on a predetermined condition;a threshold setting unit that sets a predetermined threshold such that a power supply amount from the power system to the consumer does not exceed the threshold in the period of time predicted by the peak cut prediction unit; anda charge/discharge control command unit that stops power supply from the power system to the consumer and causes a power storage device to be discharged by an amount of demand power exceeding the threshold when demand power of the consumer reaches the threshold in the period of time predicted by the peak cut prediction unit.2. The power control apparatus according to claim 1 , whereinthe charge/discharge control command unit permits charge/discharge of the power storage device in the period of time predicted by the peak cut prediction unit, and stops charge/discharge of the power storage device at a time other than the period of time.3. The power control apparatus according to claim 1 , further comprisinga charge possibility determination unit that determines whether charge of the power storage ...

DEMAND CHARGE AND RESPONSE MANAGEMENT USING ENERGY STORAGE

Systems and methods for controlling battery charge levels to maximize savings in a behind the meter energy management system include predicting a demand charge threshold with a power demand management controller based on historical load. A net energy demand is predicted for a current day with a short-term forecaster. A demand threshold maximizes financial savings using the net energy demand using a rolling time horizon optimizer by concurrently optimizing the demand charge savings and demand response rewards. A load reduction capability factor of batteries is determined with a real-time controller corresponding to an amount of energy to fulfill the demand response rewards. The net energy demand is compared with the demand threshold to determine a demand difference. Battery charge levels of the one or more batteries are controlled with the real time controller according to the demand difference and the load reduction capability factor. 1. A method for controlling battery charge levels to maximize power demand savings in a behind the meter energy management system , the method comprising:predicting a demand charge threshold with a power demand management controller based on historical load to reduce peak demand charges;predicting a net energy demand for a current day with a short-term forecaster;determining a demand threshold for maximizing financial savings using the net energy demand using a rolling time horizon optimizer by concurrently optimizing the savings associated with both the demand charge rates and the time-of-use rates, and the demand response rewards;determining a load reduction capability factor of one or more batteries with a real-time controller, the load reduction capability factor corresponding to an amount of energy required to fulfill a load reduction corresponding to at least one of the demand response rewards;comparing the net energy demand with the demand threshold to determine a demand difference with the real-time controller; andcontrolling ...

Submodular Load Clustering with Robust Principal Component Analysis

Systems and methods manage electrical loads in a grid by applying Robust principal component analysis (R-PCA) to decompose annual load profiles into low-rank components and sparse components; extracting one or more predetermined features; constructing a similarity graph; selecting submodular cluster centers through the constructed similarity graph; determining a cluster assignment based on selected centers; and applying the clustering assignment for load analysis. 1. A method to manage electrical loads in a grid , comprising:applying Robust principal component analysis (R-PCA) to decompose annual load profiles into low-rank components and sparse components;extracting one or more predetermined features;constructing a similarity graph;selecting submodular cluster centers through the constructed similarity graph;determining a cluster assignment based on selected centers; andapplying the clustering assignment for load analysis.2. The method of claim 1 , comprising performing data normalization.3. The method of claim 1 , comprising selecting a submodular cluster center and applying the selected submodular cluster center to determine one or more optimal cluster centers through the constructed similarity graph.4. The method of claim 1 , wherein the R-PCA is applied to decompose the load time series into low-rank and sparse components to extract key features.5. The method of claim 1 , wherein the submodular selection determines cluster centers.6. The method of claim 1 , comprising ranking load areas in order as the center candidates claim 1 , where higher order indicates higher priority to be chosen as the cluster centers.7. The method of claim 6 , wherein without repeating the whole clustering process claim 6 , a different total cluster number K simply requires picking K first candidates and re-assigning load profiles.8. The method of claim 1 , comprising determining rank-k component L to minimize an 1-norm of reconstruction errors between original data M and low-rank ...

SYSTEM AND METHOD OF POWER CONTROL FOR AN ENERGY STORAGE CHARGING STATION

A system includes a control unit having a processor and a communication interface. The communication interface is configured to communicate with one or more charging stations that are electrically coupled to receive electrical power from a power distribution grid and that are configured to selectively charge one or more energy storage devices connected to the charging stations. The processor is configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of reactive and/or active power from the charging stations to the power distribution grid. The control signals are generated based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid. 1. A system comprising:a control unit comprising a processor and a communication interface operably coupled to the processor, wherein the communication interface is configured to communicate with one or more charging stations electrically coupled to receive electrical power from a power distribution grid and configured to selectively charge one or more energy storage devices connected to the one or more charging stations,wherein the processor of the control unit is configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of at least one of reactive power or active power from the one or more charging stations to the power distribution grid based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid.2. The system of claim 1 , wherein the load cycle profile includes information of one or more times when the one or more electric machines are scheduled to draw electrical power from the power distribution grid and one or more magnitudes of the electrical power to be drawn by the one or more electric machines from the ...

CONTROL DEVICE, CONTROL METHOD FOR WATER HEATER, AND PROGRAM

In a control device, an instruction acquirer acquires an instruction to suppress in a specified period supplying of generated power generated by power generator installed in a power-consuming area to a commercial electrical power system. Upon the instruction acquirer acquiring the instruction, a water heater controller commands a water heater installed in the power-consuming area to perform a water heat-up operation when a predetermined condition is satisfied in the specified period. 1. A control device comprising:an instruction acquirer configured to acquire an instruction to suppress in a specified period supplying of a generated power generated by a power generator installed in a power-consuming area to a commercial electrical power system; anda water heater controller configured to, upon the instruction acquirer acquiring the instruction, command a water heater installed in the power-consuming area to perform a water heat-up operation when a predetermined condition is satisfied in the specified period during suppression of a power output from the power generator.2. The control device according to claim 1 , wherein the predetermined condition is satisfied when claim 1 , in the specified period claim 1 , a consumed power of the power-consuming area is smaller than the generated power claim 1 , the consumed power occurring when the water heater performs the water heat-up operation.3. The control device according to claim 1 , wherein the predetermined condition is satisfied when claim 1 , in the specified period claim 1 , the power output from the power generator is larger than a limit value determined in accordance with the instruction.4. The control device according to claim 1 , wherein the predetermined condition is satisfied when claim 1 , in the specified period claim 1 , a power is not supplied from the commercial electrical power system to the power-consuming area.5. The control device according to claim 1 , wherein the predetermined condition is satisfied ...

A METHOD AND A SYSTEM FOR CONTROLLING ENERGY SUPPLY TO DIFFERENT UNITS

A method for controlling energy supply to different units includes receiving, by an aggregator, the demand request signal, and performing, by the aggregator, an allocation of the requested demand modification to the units based on a negotiating process with the units for minimizing an impact of the allocation on a future operation of another utility or of other utilities. Each unit is connected to multiple utilities for receiving enemy for operating its energy systems. A demand request signal is provided by at least one operational entity and/or by at least one utility for requesting a demand modification of a utility and/or of one form of energy. 1. A method for controlling energy supply to different units , wherein each unit is connected to multiple utilities for receiving energy for operating its energy systems and wherein a demand request signal is provided by at least one operational entity and/or by at least one utility for requesting a demand modification of a utility and/or of one form of energy , the method comprising:receiving, by an aggregator, the demand request signal; andperforming, by the aggregator, an allocation of the requested demand modification to the units based on a negotiating process with the units for minimizing an impact of the allocation on a future operation of another utility or of other utilities.2. The method according to claim 1 , wherein the allocation is performed dynamically.3. The method according to claim 1 , wherein the negotiating process considers a prediction and/or a probability of one or more possible future demand modification requests of the utility and/or another utility or other utilities.4. The method according to claim 3 , wherein the prediction and/or probability depends on one or more of weather claim 3 , time claim 3 , season and/or activity claim 3 ,5. The method according to claim 4 , wherein the impact on a future operation of the another utility or other utilities comprises the impact on one or more possible ...

PHASE COMPENSATION SYSTEM

Systems and methods are provided for a three-phase compensation system, whereby an electric circuit is configured to be connected with three input phases of a power source and to supply three respective output phases, said electric circuit further configured to compensate for one or two malfunctioning input phases of said three input phases by supplying current from a functioning input phase of said three input phases to replace a malfunctioning input phase. 1. A three-phase compensation system , comprising:an electric circuit configured to receive three input phases of a three phase power source from which to supply three respective output phases, said electric circuit further configured to compensate for one or two malfunctioning input phases of said three input phases by supplying current from at least one of functioning input phase of said three input phases to compensate for the one or two malfunctioning input phases, wherein said electric circuit comprises first, second and third control relays connected with each other, each comprising first and second normally open in-contacts, first and second normally open out-contacts, first and second normally close in-contacts, first and second normally close out-contacts, a control in-contact and a control out-contact.2. The three-phase compensation system of claim 1 , wherein a first phase-in is connected with said first control relay control in-contact and with said first control relay first normally open in-contact; said first control relay first normally open out-contact is connected with said first control relay second normally open in-contact; said first control relay second normally open in-contact is connected with said third control relay first normally close in-contact; said first control relay first normally close in-contact is connected with said second control relay second normally open in-contact; said first control relay second normally close in-contact is connected with said second control relay second ...

METHOD FOR CONTROLLING A MICROGRID

A method controls a microgrid having at least one renewable plant of distributed renewable energy resources and at least one generator plant of distributed non-renewable energy resources, and each plant has a local controller. The method includes providing type and power size of each plant to each local controller. At each local controller, measuring the frequency and estimating the total power load demanded based on the measured frequency. At the local renewable controller, decreasing the frequency at which power is supplied when the supplied power falls below the estimated power load and increasing the frequency when the supplied power exceeds the estimated power load. And at the local generator controller, increasing power supply in response to detecting a decrease in frequency, and decreasing power supply in response to detecting an increase in frequency. 1. A method for controlling a microgrid comprising at least one renewable plant of distributed renewable energy resources and at least one generator plant of distributed non-renewable energy resources , each plant having a local controller , comprising:providing type and size of each plant to the local controller of each plant within the microgrid;each local controller:measuring the frequency of the microgrid;estimating the power load demanded from the plant based on the measured frequency, and the type and size of each plant;dividing the estimated power load among the energy resources available within the plant;the local controller of the at least one renewable plant:monitoring the power supplied by the plant;decreasing the frequency at which power is supplied by the renewable plant when the supplied power falls below the estimated load;increasing the frequency at which power is supplied by the renewable plant when the supplied power exceeds the estimated load;the local controller of the at least one generator plant:increasing power supply by non-renewable resources in response to detecting a decrease in ...

MANAGING POWER FOR RESIDENTIAL AND COMMERCIAL NETWORKS

An apparatus in an illustrative embodiment comprises at least one processing device comprising a processor coupled to a memory. The processing device is configured to receive power consumption data relating to at least one monitored device, and to classify the monitored device based at least in part on the power consumption data. The processing device is further configured to select a power policy for the classified device, and to control application of power to the classified device in accordance with the selected power policy. For example, controlling application of power to the classified device in accordance with the selected power policy may comprise determining contextual information for the classified device, generating a control signal based at least in part on the contextual information and the selected power policy, and transmitting the control signal to at least one node of a node network. Other illustrative embodiments include methods and computer program products. 1. An apparatus comprising:at least one processing device comprising a processor coupled to a memory;said at least one processing device being configured:to receive power consumption data relating to at least one monitored device;to classify the monitored device based at least in part on the power consumption data;to select a power policy for the classified device; andto control application of power to the classified device in accordance with the selected power policy.2. The apparatus of wherein receiving power consumption data relating to at least one monitored device comprises receiving power consumption data from a node network associated with the monitored device.3. The apparatus of wherein said at least one processing device comprises one or more servers coupled to the node network wherein the one or more servers are configured to automatically perform at least portions of the receiving claim 2 , classifying claim 2 , selecting and controlling through interaction with one or more nodes of ...

DECENTRALIZED HARDWARE-IN-THE-LOOP SCHEME

A method tests the configuration of an aggregated DERs system using distributed asset managers in a decentralized hardware-in-the-loop (“HIL”) scheme. The managers contain the model of the asset they are meant to control. The method programs an asset manager with a model of a DERs asset. A plurality of asset managers are connected to a central controller. The plurality of asset managers are also connected to a simplified hardware-in-the-loop platform. The simplified HIL platform is configured to solve a network model, a load model, a non-controllable asset model, and a grid model. The method tests the DERs system control structure by using: (a) the simplified HIL platform to solve the network model, the load model, the non-controllable asset model, and the grid model, and (b) the asset manager to solve the model of the DERs asset, without any simulation between the central controller and the distributed asset managers. 1. A method of testing the configuration of an aggregated distributed energy resources system (“DERs system”) using distributed asset managers containing the model of the asset they are meant to control in a decentralized hardware-in-the-loop scheme , the method comprising:programming an asset manager with a model of a DERs asset;connecting a plurality of distributed asset managers to a central controller.connecting the plurality of distributed asset managers to a simplified hardware-in-the-loop platform (“simplified HIL platform”) configured to solve a network model, a load model, a non-controllable asset model, and a grid model;testing the DERs system control structure by using: (a) the simplified HIL platform to solve the network model, the load model, the non-controllable asset model, and the grid model, and (b) the asset manager to solve the model of the DERs asset, without any simulation between the central controller and the distributed asset managers.2. The method of testing the configuration of a DERs system of claim 1 , further comprising: ...

SYSTEM FOR INTEGRATED MULTI-ENERGY SCHEDULING CONTROL IN A MICRO-GRID

A system provides integrated multi-energy scheduling control in a micro-grid. The micro-grid may comprise a combined cooling, heating and power CCHP unit and an ice-storage air conditioner. In embodiments, an integrated multi-energy scheduling control process for operation in the micro-grid is performed, based on the predicted electricity demand and cooling demand and the predicted renewable energy output, under process constraints to determine the amount of electricity exchanged between the micro-grid and a macro-grid, cooling power output and electricity output of the CCHP unit, and operation modes and cooling power output of the ice-storage air conditioner in time intervals in a scheduling period, wherein electricity supply/demand balance and cooling energy supply/demand balance are coupled. The system may achieve multi-energy supply/demand balance at a minimized operational cost, and may achieve a high energy efficiency of both the CCHP units and a high performance of the ice-storage air conditioner. 1. A system for integrated multi-energy scheduling control in a micro-grid , wherein the micro-grid comprises a combined cooling , heating and power (CCHP) unit and an ice-storage air conditioner , the system comprising:at least one processor; andat least one non-transitory memory storing computer executable instructions, 'perform, based on predicted electricity demand and cooling demand and predicted renewable energy output, multi-energy scheduling control for operation in the micro-grid under constraints of electricity supply/demand balance and cooling energy supply/demand balance, operation constraints for the CCHP unit and operation constraints for the ice-storage air conditioner, to determine an amount of electricity exchanged between the micro-grid and a macro-grid, cooling power output and electricity output of the CCHP unit, and operation modes and cooling power output of the ice-storage air conditioner in time intervals in a scheduling period, wherein the ...

POWER SHARING IN A MESH ENERGY SYSTEM

Systems, devices and methods for sharing energy are generally described. In various examples a first grid participant may send a request for a list of grid participants to a directory server. The first grid participant may determine an energy profile of the first grid participant. The first grid participant may send a first signal to a second grid participant of the list of grid participants. The first signal may comprise a first indication of the energy profile of the first grid participant. The first grid participant may receive a response from the second grid participant indicating an availability of the second grid participant to participate in energy sharing with the first grid participant. Energy may be provided to a line accessible by the first grid participant and the second grid participant according to the energy profile of the first grid participant. 1. A method of energy sharing , the method comprising:sending, by a first computing device associated with a first grid participant, a request for a list of grid participants to a directory server;receiving, by the first computing device, the list of grid participants from the directory server;determining, by the first computing device, an energy profile of the first grid participant;sending, by the first computing device, a first signal to a second grid participant of the list of grid participants, wherein the first signal comprises a first indication of the energy profile of the first grid participant;receiving, by the first computing device from a second computing device associated with the second grid participant, a second signal in response to the first signal, wherein the second signal indicates an availability of the second grid participant to participate in energy sharing with the first grid participant; andproviding energy to a line accessible by the first grid participant and the second grid participant according to the energy profile of the first grid participant.2. The method of claim 1 , wherein: ...

INTEGRATED VEHICLE-TO-HOME ENERGY MANAGEMENT SYSTEM

A vehicle includes a power system that is couplable to a power network. A controller is configured to communicate with appliances coupled to the power system and programmed to operate the appliances to prevent current demand of the appliances from exceeding a peak operating current of the power system and to balance current demand to prevent exceeding a nominal current rating of the power system for more than a predetermined time. 1. A vehicle comprising:a power system couplable to a power network; anda controller configured to communicate with appliances coupled to the power system and programmed to, responsive to the power system providing a current and one of the appliances requesting a change in current demand predicted to cause the current to exceed a peak current limit of the power system, operate the appliances to prevent the current from exceeding the peak current limit.2. The vehicle of wherein each of the appliances is associated with a priority level and the controller is further programmed to operate the appliances to delay activation of the one of the appliances until the current demand predicted is less than the peak current limit responsive to the one of the appliances having a priority level that is less than other appliances.3. The vehicle of wherein each of the appliances is associated with a priority level and the controller is further programmed to claim 1 , responsive to the one of the appliances having a priority level that exceeds a priority level of a first appliance claim 1 , reduce current to the first appliance before activating the one of the appliances.4. The vehicle of wherein each of the appliances is associated with a priority level and the controller is further programmed to claim 1 , responsive to the one of the appliances having a priority level that exceeds a priority level of a first appliance claim 1 , suspend operation of the first appliance before activating the one of the appliances.5. The vehicle of wherein the controller is ...

METHOD, SYSTEM AND STORAGE MEDIUM FOR LOAD DISPATCH OPTIMIZATION FOR RESIDENTIAL MICROGRID

The present invention provides a method, system and storage medium for load dispatch optimization for residential microgrid. The method includes collecting environmental data and time data of residential microgrid in preset future time period; obtaining power load data of residential microgrid in future time period by inputting environmental data and time data into pre-trained load forecasting model; obtaining photovoltaic output power data of residential microgrid in future time period by inputting environmental data and time data into pre-trained photovoltaic output power forecasting model; determining objective function and corresponding constraint condition of residential microgrid in future time period, where optimization objective of objective function is to minimize total cost of residential microgrid; obtaining load dispatch scheme of residential microgrid in future time period by solving objective function with particle swarm algorithm. The invention can provide load dispatch scheme suitable for current microgrid and reduce operating cost of residential microgrid. 1. A load dispatch optimization method for a residential microgrid , wherein the method is performed by a computer , and the method comprises:{'b': '100', 'S, collecting environmental data and time data of the residential microgrid in a preset future time period;'}{'b': '200', 'S, obtaining power load data of the residential microgrid in the future time period by inputting the environmental data and the time data into a pre-trained load forecasting model; and obtaining photovoltaic output power data of the residential microgrid in the future time period by inputting the environmental data and the time data into a pre-trained photovoltaic output power forecasting model; wherein the load forecasting model and the photovoltaic output power forecasting model both comprise a GRU-based recurrent neural network;'}{'b': '300', 'S, determining an objective function and a corresponding constraint condition ...

Communication Between Distributed Information Brokers Within a Data and Energy Storage Internet Architecture

A method implemented in a network element (NE) configured to operate as an Ensemble Information Broker (EIB) within a distributed data and energy storage internet architecture comprising collecting energy data indicating a flow of energy, an amount of energy consumed and generated by devices; collecting human presence data; collecting human activity data; predicting future energy consumption requirements and generation by employing prediction algorithms and analyzing the collected data; generating a set of control commands based on the predicted future energy consumption requirements and energy generation as applied to a cost function; transmitting the set of control commands to the corresponding devices; transmitting a broadcast message to determine an external NE to establish as a friend connection based on a user preference; transmitting a request to establish a friend connection with the determined NE; and transmitting the human presence data to the external NE when the friend connection is established. 1. A distributed system comprising: collect device data regarding a flow of energy during a specified period of time through a plurality of devices within a smart system associated with the NE, an amount of energy and data consumed by the devices during the specified period of time, and an amount of energy and data generated by the devices during the specified period of time;', 'collect human presence data in the smart system regarding a presence of a user within the smart system during the specified time;', 'collect human activity data in the smart system regarding user inputs to the devices and user interaction with the devices during the specified period of time;', 'determine future energy and data consumption and generation requirements for the smart system by applying prediction algorithms to the device data, the human presence data and the human activity data;', 'generate a set of control commands for the devices within the smart system based on the future ...

METHOD AND SYSTEM FOR PRIORITIZING CONTROL STRATEGIES MINIMIZING REAL TIME ENERGY CONSUMPTION OF BUILT ENVIRONMENT

The present disclosure provides a computer-implemented method for prioritizing one or more instructional control strategies to reduce time-variant energy demand of a built environment associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes parsing and comparison of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes identification and prioritization of one or more instructional control strategies to reduce the time-variant energy demand associated with the built environment. 1. A method for managing energy consumption , comprising:collecting, at an energy demand control system with a processor, a first set of statistical data associated with an energy consumption of a plurality of energy consuming devices;fetching, at the energy demand control system, a second set of statistical data associated with an occupancy behavior of a plurality of users;accumulating, at the energy demand control system, a third set of statistical data associated with each of a plurality of energy storage and supply devices or systems, wherein the third set of statistical data comprises a current and historical energy storage and supply capacity data associated with the plurality of energy storage and supply devices or systems;receiving, at the energy demand control system, a fourth set of statistical data associated with each of a plurality of environmental sensors, wherein the fourth set of statistical data comprises a current and historical environmental condition data;gathering, at the energy demand ...