SCHLAGVORRICHTUNG ZUM AUSLÖSEN EINER ZÜNDUNG

Satellitensignalbasierte Stromversorgungsnetzsteuerung

Es wird eine satellitensignalbasierte Steuerung und Verwaltung von Stromversorgungsnetzen zur Verfügung gestellt. Satellitensignalmessungen an einer oder mehreren entfernt gelegenen Empfangseinrichtungen können zum Beispiel verwendet werden, um eine tatsächliche oder geschätzte Menge an Wolkenbeeinträchtigung in einem gegebenen Gebiet zu bestimmen. Die Wolkenbeeinträchtigungsdaten können dann verwendet werden, um in einigen Ausführungsformen die Solarerzeugungsausgabe und/oder Netzbedarfspegel vorauszusagen, und/oder um Einstellungen des Stromnetzes zu verändern, um derartigen Solarerzeugungspegeln zu entsprechen.

A microgrid control apparatus method and system for controlling energy flow within a microgrid

Systems and methods for energy management

Energy-efficient, self-contained welfare cabin

A self-contained water closet cabin is disclosed comprising a fuel-based generator set, a renewable energy generator and an electrical system having an energy store arranged to be charged by the renewable energy generator. The electrical system has and a number of selectively activatable electrical appliances comprising one or more light, an electric water heater, and an air heater. The electrical system further has a controller arranged to monitor the level of charge of the energy store and a power requirement of one or more of the electrical appliances concurrently activated The controller selectively initiates operation of the generator set according to said power requirement. The maximum power output of the generator set is less than the combined power demands of the appliances and the controller is arranged to deny power supply to at least one of the appliances in accordance with a predetermined hierarchy if the combined power output of the renewable generator and the generator set ...

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 ...

Estimating energy consumption for a building using dilated convolutional neural networks

Methods and systems for off-grid load stabilization of energy distribution systems

The present disclosure discloses methods, systems, and non-transitory computer-readable medium for off-grid load stabilization. For instance, the method may include: receiving generator data from at least one generator and energy storage data from at least one energy store; determining, based on the generator data and/or the energy storage data, a moving average of a system load of the at least one generator; and determining, based on the generator data and/or the energy storage data, an instantaneous load value of the at least one generator. The method may further include: determining a first electronic storage dispatch (ESD) based on the moving average of the system load and the instantaneous load value of the at least one generator; and providing the first ESD to the at least one energy store.

Hybrid grid and renewable based energy system

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 ...

Processing device, processing method, and program

The present invention provides a processing device (10) including: an acquiring unit (11) which acquires an adjustment request specifying a control time span and a control quantity for controlling electricity demand; a determining unit (12) which, on the basis of the adjustment request, determines a first consumer for which electricity demand is to be controlled, and the control quantity and the time span for control for the first consumer; and an estimating unit (13) which estimates whether, if the electricity demand of the first consumer were controlled on the basis of the determination by the determining unit (12), the electricity demand of the first consumer before said control and/or after said control would vary from the electricity demand of the first consumer if the electricity demand were not controlled.

A method and apparatus for storing and using energy to reduce the end-user cost of energy

Energy budget manager

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.

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

A utility employs a method for estimating available operating reserve. Electric power consumption by at least one device serviced by the utility is determined during at least one period of time to produce power consumption data. The power consumption data is stored in a repository. A determination is made that a control event is to occur during which power is to be reduced to one or more devices. Prior to the control event and under an assumption that it is not to occur, power consumption behavior expected of the device(s) is estimated for a time period during which the control event is expected to occur based on the stored power consumption data. Additionally, prior to the control event, projected energy savings resulting from the control event are determined based on the devices' estimated power consumption behavior. An amount of available operating reserve is determined based on the projected energy savings.

METHODS AND SYSTEMS FOR ENERGY USE NORMALIZATION AND FORECASTING

Disclosed herein are methods and systems for normalizing an energy use intensity value to compensate for variations in energy usage due to environment. Also disclosed are methods and systems for forecasting energy use intensity values.

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.

DIRECT LOAD CONTROL FREQUENCY REGULATION SUPPORT SYSTEM

A plurality of interactive electrical loads defines an aggregation connected with an electrical power grid. A scheduler generates a baseline power consumption schedule for the aggregation, determines frequency regulation capacity of the aggregation, and controls actual power consumption of the aggregation based on the baseline power consumption and an Automated Generation Control (AGC) signal of the electrical power grid to operate the aggregation as an ancillary frequency control device of the electrical power grid with the determined frequency regulation capacity. The controlling may comprise generating baseline dispatch signals for implementing the baseline consumption schedule, adjusting the baseline dispatch signals based on the AGC signal to generate adjusted dispatch signals, transmitting the adjusted dispatch signals to the plurality of interactive electrical loads defining the aggregation, and generating an AGC response log based on differences between the adjusted dispatch signals ...

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.

SYSTEMS AND METHODS FOR BLACKOUT PROTECTION

A system for managing an electric power delivery system is disclosed that includes a set of remote intelligent electronic devices (lEDs) and a central lED. The remote lEDs may be configured to obtain information related to rotor angles, operating frequencies, rate of change of frequency, rotating inertia, and power consumption levels of loads and generators included in the electric power delivery system. The central lED may communicate with the remote lEDs to determine which loads and generators are associated with a sub-grid of the electric power delivery system and whether to disconnected certain loads or generators. Based on this determination, the central lED may direct the remote lEDs to disconnect loads or generators from the electric power delivery system, or to rapidly increase or decrease generator output as appropriate.

System and method for adjusting the energy production of energy producers in an electric network with forward-looking not-solarnot-solar energy producers and solar.

Die Erfindung betrifft ein System und ein Verfahren zum vorausschauenden Einstellen der Energieerzeugung von einem oder mehreren nichtsolaren Energieerzeugern (112) auf der Basis der kurzfristigen solaren Stromerzeugungsfähigkeit, der Erzeugerleistungsreservemarge und/oder des prognostizierten Erzeugerleistungsreservebedarfs des Stromnetzes zum Ausgleichen von solarer Stromerzeugung auf Basis geografischer regionaler Besonnungsverhältnisse.

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 ...

Rack-level power control

ELECTRIC POWER SYSTEM CONTROL WITH MEASUREMENT OF ENERGY DEMAND AND ENERGY EFFICIENCY USING T - DISTRIBUTIONS

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.

A method and system for optimizing and predicting demand response

Building energy storage system with peak load contribution cost optimization

An energy storage system for a building includes a battery and an energy storage controller. The battery is configured to store electrical energy purchased from a utility and to discharge stored electrical energy for use in satisfying a building energy load. The energy storage controller is configured to generate a cost function including a peak load contribution (PLC) term. The PLC term represents a cost based on electrical energy purchased from the utility during coincidental peak hours in an optimization period. The controller is configured to modify the cost function by applying a peak hours mask to the PLC term. The peak hours mask identifies one or more hours in the optimization period as projected peak hours and causes the energy storage controller to disregard the electrical energy purchased from the utility during any hours not identified as projected peak hours when calculating a value for the PLC term.

System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management

A method for generating a value for available operating reserve for electric utility. Electric power consumption by at least one device is determined during at least one period of time to produce power consumption data, stored in a repository. Prior to a control event for power reduction and under an assumption that it is not to occur, power consumption behavior expected of the device(s) is determined for a time period during which the control event is expected to occur based on stored power consumption data. Additionally, prior to the control event, projected energy savings resulting from the control event, and associated with a power supply value (PSV) are determined based on devices' power consumption behavior. Amount of available operating reserve is determined based on projected energy savings.

Demand response system and method for controlling devices to participate in demand response automatically

A demand response method, a demand response system, and a recording medium are provided. The response control method includes: determining priorities of devices to be controlled to participate in a demand response; generating respective participation profiles for the devices based on the determined priorities; and changing the priorities of the devices included in the participation profiles, based on whether participation in the demand response according to the generated participation profiles succeeds. Therefore, the user easily participates in the demand response, and thus energy can be saved.

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.

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 ...

Orchestrated energy

A facility providing systems and methods for managing and optimizing energy consumption and/or production is provided. The facility provides techniques for optimizing energy-consuming and energy-producing systems to meet specified demands or goals in accordance with various constraints. The facility relies on models to generate an optimization for an energy system. In order to use generic models to simulate and optimize energy consumption for an energy system, the generic models are calibrated to properly represent or approximate conditions of the energy system during the optimization period. After the appropriate models have been calibrated for a given situation using one or more modeling parameter sets, the facility can simulate inputs and responses for the corresponding system. The facility uses the generated simulations to generate a plan or control schedule to be implemented by the energy system during the optimization period.

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.

SYSTEMS AND METHODS FOR ENHANCED POWER SYSTEM MODEL CALIBRATION

A system for enhanced power system model calibration is provided. The system is programmed to store a model of a device. The model includes a plurality of parameters. The system is also programmed to receive a plurality of events associated with the device, receive a first set of input calibration values for the plurality of parameters, sequentially analyze the plurality of events in a first sequence to determine a set of calibrated parameter values for the model, validate the set of calibrated parameter values for the model to determine fit, and perform Bayesian optimization on the determined fit, the set of calibrated parameter values for the model, and the plurality of events.

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.

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.

Power usage prediction system and method

A power usage prediction system and method determines whether or not a predicted power usage exceeds a limit value using modeling data for power usage. The system includes a power measurement unit for measuring power usage at a certain time interval; a modeling unit for generating a plurality of data sets by grouping a certain number of a plurality of measurement data indicating the measured power usage in time series, storing the last measurement data of the data set as a modeling output, and storing measurement data other than the modeling output of the data set as a modeling input; and a prediction unit for inputting real-time data measured in real time in the power measurement unit into the modeling unit in time series, and predicting the power usage after the real-time data by corresponding the real-time data with the plurality of data sets.

Building energy optimization system with automated and dynamic economic load demand response (ELDR) optimization

An energy optimization system for a building includes a processing circuit configured to provide a first bid including one or more first participation hours and a first load reduction amount for each of the one or more first participation hours to a computing system. The processing circuit is configured to operate one or more pieces of building equipment based on one or more first equipment loads and receive one or more awarded or rejected participation hours from the computing system responsive to the first bid. The processing circuit is configured to generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads based on the one or more awarded or rejected participation hours and operate the one or more pieces of building equipment based on the one or more second equipment loads.

PREDICTIVE OPERATION IN A MICRONETWORK WITH POWER EXCHANGE BETWEEN A MICRONETWORK AND A MAIN POWER NETWORK

СИСТЕМА УПРАВЛЕНИЯ

Изобретение относится, в том числе, к центральному устройству (110) для системы (100) управления для управления системой (10) передачи энергии, имеющей генераторы (30-32) энергии и потребители (40-45) энергии, причем центральное устройство выполнено с возможностью, на основе текущего и/или прогнозируемого потребления энергии, определять, какое количество энергии должно генерироваться генераторами энергии. В соответствии с изобретением предусмотрено, что по меньшей мере одной частичной группе (Т1, Т2, Т3) подключенных к системе передачи энергии потребителей энергии выделена индивидуальная ширина (Е1±ΔЕ1, Е2±ΔЕ2, Е3±ΔЕ3) полосы энергии, которая указывает, в какой мере полное потребление энергии частичной группы можно предположительно повысить и/или снизить, и центральное устройство выполнено с возможностью, с учетом режима генерации энергии генераторов энергии и индивидуальных ширин полосы частичной группы, определять оптимальное заданное потребление (Es1, Es2, Es3) энергии, лежащее в пределах ...

РАСПРЕДЕЛЕННЫЙ ИНТЕЛЛЕКТ ЭЛЕКТРИЧЕСКОГО ТРАНСПОРТНОГО СРЕДСТВА

Группа изобретений относится к управлению промышленной сетью для зарядки энергией электрических транспортных средств. Способ обеспечения распределенного интеллекта для отслеживания электроэнергии и выделения электроэнергии включает в себя следующие этапы. Принимают данные множества идентифицированных станций заряда и транспортных средств клиентов. Анализируют данные в отношении доступной электроэнергии для указанных местоположений, предыстории использования и профилей клиента. Передают команды для перераспределения энергии в ресурсы электрораспределительной сети для обработки флуктуаций или прогнозируемых флуктуаций при запросе электроэнергии на основе анализа. Также учитывают предпочтения клиента при прогнозировании спроса на электроэнергию и необходимости в отклике на спрос. Выполняют экономические правила для стимулирования клиентов соответствовать требованиям отклика на спрос, когда спрос больше, чем подача электроэнергии. Технический результат изобретений заключается в рациональном ...

VERFAHREN UND SYSTEM ZUR VORHERSAGE DER SOLARENERGIEPRODUKTION

Power transaction management system and power transaction management method

The purpose of the present invention is to trade electric energy on a power trading market, taking into account fluctuating adjustment capacity for power consumption among a plurality of customers. This power trading management system performs: power price prediction 2006 in which power prices are predicted; power product extraction 2008 in which information about a predetermined power product to be traded is extracted; adjustment capacity prediction 2106 in which the power consumption adjustment capacity which indicates the capacity to adjust power consumption is predicted for each customer; adjustment plan preparation 2107 in which an adjustment plan is prepared by assigning electric energy to be traded to each customer on the basis of capacity to adjust power consumption; trading plan preparation 2008 in which a trading plan for the trading of power products is prepared on the basis of the adjustment plan; order processing 2010 in which order information based on the trading plan is ...

Electronic power assisted steering system and method

Power distribution control system

A power distribution control system such as a smart grid having at least two power assets (site 1, 2, N) selected from responsive sources, stores and responsive loads. Each asset is connected to a grid with a local router 13, 14, 15. A server 25 is in communication with the local routers and a control system 43 connected to the server anticipates times of peak activity. The assets and associated local routers communicate with a central server and co-operate at the anticipated time to reduce the effect of the peak on the grid. The assets may communicate between themselves on a peer to peer basis. Stores may charge or discharge in advance of the peak in supply or demand. Sources may produce more or less power in advance of the peak in supply or demand and the temperature control of loads may be adjusted in advance of the peak in supply or demand.

Aggregating energy resources

Utility data processing system

A utility data processing system for processing data relating to consumption of a utility, e.g. gas, electricity or water, comprises: a fact memory for storage 240 of facts relating to utility consumption received from fact sources 242 244 232 248, at least one fact source module for deriving facts from utility consumption data and adding the derived facts to the fact memory, an inference module 224 for inferring new facts relating to utility consumption from one or more facts stored in the fact memory, and an interface module 280. The system further comprises an appliance identification module configured to identify appliances from characteristic usage signatures. Once an appliance has been identified then certain assumptions can be made, for example if a DVD player is present in a household then the household must also contain a television. This negates the need to gather data directly from the consumer.

Hybrid renewable energy system using historical prediction

A method for managing an energy system 200 having one or more renewable energy sources, one or more energy storage devices, one or more loads, and a connection to an external non-renewable energy source such as the grid or an auxiliary generator. The method generates a prediction of energy demand 210 of the loads using historical energy demand data 202, and a prediction of renewable energy availability 220 from the renewable energy sources using weather forecast data 206 and historical renewable energy availability data. An amount of energy to be obtained from the distribution grid is determined in dependence on the prediction of renewable energy availability 220 and the prediction of energy demand 210. An energy conservation strategy 230 is generated using the predictions and determined energy amount, and energy supplied to one or more of the energy storage devices and/or one or more of the loads is adjusted automatically according to the energy conservation strategy 230. The energy conservation ...

VERY MUCH KURZZEITER LASTPRÄDIKTOR

Decision support for automated power trading

Data center energy management system

Specification This disclosure describes techniques that include managing flows of energy within a system that includes a data center and using at least some of the energy flows to provide power to the data center. In some examples, this disclosure describes a system comprising a power generation system, a battery storage system having a state of charge attribute, and processing circuitry having access to an electrical power grid, the power generation system, and the battery storage system. In one example, the processing circuitry is configured to: determine an energy utilization forecast for a data center; monitor energy availability factors; and determine, based on the energy utilization forecast and the monitored energy availability factors, an energy flow configuration defining energy flows involving with the electrical power grid, the power generation system, the battery storage system, and the data center.

Percussion mechanism for triggering an ignition

Power system

MULTI-AGENT ORIENTED METHOD FOR FORECASTING-BASED CONTROL WITH LOAD PRIORITY OF MICROGRID IN ISLAND MODE

Abstract: The present invention deals with microgrids, which represent a new approach to integrate distributed energy resources economically, reliably and efficiently. A microgrid can operate in a connected mode if it makes an energetic exchange with a main grid or in an island mode otherwise. In its island operation mode, a microgrid ensures its energy self-sufficiency. However, the availability of resources in this mode is greatly influenced by meteorological factors and the microgrid must satisfy the high requirements on intelligent power management in order to achieve high availability of energy. The present invention provides a multi-agent control system based on the production forecasting and loads shedding for high availability of the microgrid power supply. A mathematical model for the control strategy is developed and implemented on the Spartan 6 FPGA-based. NINE! m Sources Storage Critical Uncribcal'. diveces loads loads Figure 1 ...

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. ol 0 ...

An efficient and accelerated distributed algorithm for smart grids

Abstract An efficient and accelerated distributed algorithm based on event-triggered strategy and two types of momentum terms (nesterov momentum and heavy-ball momentum) for solving the economic dispatch problem (EDP) in smart grids which are defined in an undirected network is proposed. The algorithm mainly includes five parts: Variable initialization, parameter selection, information exchange, event-triggered strategy, and variable update. By adopting the event-triggered strategy and two types of momentum terms, the proposed algorithm which is set forth in the present invention reduces the amount of computation/interaction and promotes the convergence in comparison with related works. Presuming the smoothness and strong convexity cost functions, the proposed algorithm can linearly seek the exact optimal solution in the event that the largest step-size and the maximum momentum coefficient are small sufficiently and positive. Moreover, the proposed algorithm strictly excludes the behavior ...

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.

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 OPTIMAL CONTROL OF ENERGY STORAGE SYSTEM

Systems and methods for optimal control of one or more energy storage systems are provided. Based on live, historical, and/or forecast data received from one or more data sources, one or more forecasts of one or more parameters relating to the operation of the one or more energy storage systems and an associated forecast uncertainty may be calculated by various forecasting techniques. Using one or more optimization techniques, an optimal dispatch schedule for the operation of the one or more energy storage systems may be created based on the forecasts. The optimal dispatch schedule may be used to determine one or more energy storage system parameters, which are used to control the operation of the energy storage systems.

AGGREGATOR, MONITOR, AND MANAGER OF DISTRIBUTED DEMAND RESPONSE

The invention broadly encompasses a system including a database to store demand response data, the demand response data including demand response agreement parameters, demand response load and energy demand characteristics of one or more demand response customers, the demand response load characteristics including power consumption capacity of each of one or more demand response loads, an aggregator to aggregate the demand response loads based on the demand response data and forecast data into a demand response portfolio, a monitor to monitor power demand of one or more demand response customers and one or more power grids, and a dispatcher to notify the one or more demand response customers of the demand response portfolio and to notify a utility of a response from the one or more demand response customers whether to control the demand response load to return the power consumption capacity of the demand response load back to the one or more power grids.

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.

LOAD CONTROL APPARATUS WITH PEAK REDUCTION IN AGGREGATE BEHAVIOR

When load control is activated by a local or remote mechanism to control a load, the method and system use a usage profile of the load and one or more of (1) interval start times, (2) ON/OFF or OFF/ON cycling and (3) predefined periods during which load must not be allowed to run (e.g., dead zones) to determine when a particular piece of equipment is allowed to shed or run thereby reducing the probability of occurrence of cyclical and non-cyclical aggregate peaking of usage wherein cyclical peaking is manifested as an artifact of the local load control rules during a load control event.

Prediction of electrical power transiting at an electrical transformer station

Energy management method and system, and computer readable storage medium for storing the method

An energy management method is provided. The energy management method comprises the steps of retrieving load information from at least one load and retrieving energy-supplying information from an energy supply system having a grid power source, a renewable energy generation module and an energy storage module to instantly calculate first and second energy thresholds. When an energy production of the renewable energy generation module is smaller than the second energy threshold, the grid power source or the energy storage module is controlled to supply energy to the load. When the energy production is between the first and the second energy thresholds, the renewable energy generation module is controlled to supply energy to the load. When the energy production is larger than the first energy threshold, the renewable energy generation module is controlled to supply energy to the load and charge the energy storage module.

Unified framework for electrical load forecasting

Techniques for near-term data filtering, smoothing and forecasting are described herein. In one example, data is received from supervisory control and data acquisition (SCADA) measurements available in an electrical grid. The data may be filtered according to a two-stage Kalman filter, which may include a ramp rate filter test and a load level filter test. The filtered data may then be smoothed according to an augmented Savitzky-Golay filter. Within the filter, a lift multiplier may correct for bias, which may have been introduced by load changes (e.g., an early morning increase in load). In one example, the lift multiplier may be calculated as a ratio between a smoothed load from a centered Savitzky-Golay moving average and a right hand side constrained Savitzky-Golay moving average. The filtered and smoothed data may be used in forming near-term forecast(s), which may be performed by autoregressive model(s).

Continuously balancing multiple phases of a power grid

Intermittently re-distributing power from three phases of a power grid connected to power consuming components of a data center by configuring power supply units (PSUs) which are integrated into each enclosure, two PSUs per enclosure. The distribution is determined by machine logic to: (i) meet the predicted power requirements of the power consuming components of the data center, and (ii) the use of first phase, second phase and third phase electrical powers is at least approximately in balance.

Frequency response optimization based on a change in battery state-of-charge during a frequency response period

A frequency response optimization system includes a battery configured to store and discharge electric power, a power inverter configured to control an amount of the electric power stored or discharged from the battery at each of a plurality of time steps during a frequency response period, and a frequency response controller. The frequency response controller is configured to receive a regulation signal from an incentive provider, determine statistics of the regulation signal, use the statistics of the regulation signal to generate an optimal frequency response midpoint that achieves a desired change in a state-of-charge (SOC) of the battery while participating in a frequency response program, and use the midpoints to determine optimal battery power setpoints for the power inverter. The power inverter is configured to use the optimal battery power setpoints to control the amount of the electric power stored or discharged from the battery.

Engine load estimation strategy in gas turbine engine system

A gas turbine engine system includes a gas turbine engine and a control system including sensors for monitoring operating properties of the engine, a signaling device that outputs a discrete switching signal indicative of an engine load change, such as connecting or disconnecting an electrical load in an electrical power system powered by the gas turbine engine, and an electronic control unit. The control unit calculates an engine load estimate based upon the switching signal, the operating properties, and statistical information in a recursive statistical estimator.

SYSTEMS AND METHODS FOR DISTRIBUTED POWER SYSTEM MODEL CALIBRATION

A computing device for distributed power system model calibration is provided. The computing device is programmed to receive event data and model response data associated with a model to simulate, wherein the model includes a plurality of parameters, divide the event data into a plurality of sets, wherein each set includes associated parameters, and transmit the plurality of sets of event data to a plurality of client nodes. Each client node of the plurality of client nodes is programmed to analyze a corresponding set of event data to determine updated parameters for the model. The computing device is further programmed to receive a plurality of updated parameters for the model from the plurality of client nodes and analyze the received plurality of updated parameters to determine at least one adjusted parameter.

System and method for smart grid dynamic regulation pools

A system and method is provided for smart grid dynamic regulation pools. The system may include at least one processor configured to initiate a plurality of pool regulation tasks that are respectively executed by different processing resources. The pool regulation tasks respectively manage respective subsets of electrical power assets assigned to respective different regulation pools to fulfill electrical power requirements for market orders received from at least one energy trading market system. Such management may include determining whether to reassign at least one asset to fulfill at least one market order. Also responsive to a determination to reassign the at least one asset, the management may include removing the at least one asset from one regulation pool managed with one pool regulation task for at least one market order and assigning the removed asset to another regulation pool managed with another pool regulation task for at least one market order.

Method and system to calculate a demand for energy

A method to calculate energy demand in an energy generation, transmission and distribution network including one or more power plants based on different energy source types including renewable energy, a communications system and one or more local consumption metering units. A customer demand profile for one or more customers is provided. A customer-specified proportion of power demand to be supplied from a given energy source type is registered. A total predicted energy demand dependent is calculated in part on an accumulated demand for the given energy source type.

INFORMATION PROCESSING APPARATUS AND JOB SCHEDULING METHOD

A process includes calculating a first predicted-power-consumption obtained by predicting a first power-consumption of a first job in a first period based on information before the first period, when an error between the first power-consumption and the first predicted-power-consumption is less than a threshold-value, at time of scheduling to allocate second jobs to calculation-nodes so that a total estimated-power-consumption in a second period after the first period of each of the second jobs including the first job allocated to the calculation-nodes is equal to or less than a predetermined first power, determining a first estimated-power-consumption of the first job in the second period, as a second predicted-power-consumption obtained by predicting a power-consumption when the first job is executed in the second period, and when the error is equal to or larger than the threshold-value, determining the first estimated-power-consumption at the time of the scheduling as a predetermined ...

FREQUENCY REGULATION METHOD

A frequency regulation method for a grid which is performed by a control device that connects, through a communication network, a controller for controlling at least one load device and a storage battery. The frequency regulation method including: obtaining, when it is detected that a frequency of a grid deviates from a predetermined range, an instruction signal including a power instruction value for keeping the frequency of the grid within the predetermined range; and generating a control signal for controlling the load device when the load device is operable in accordance with the instruction signal, and transmitting the control signal to the controller, and generating a control signal for charging or discharging the storage battery when the load device is not operable in accordance with the instruction signal, and transmitting the control signal to the storage battery.

System and methods for maintaining power usage within a set allocation

An electric power management system includes a monitor for the total power usage of a facility that monitors a history of power consumption during a set time interval of a distribution system having at least one electric load. Predictions of available power are generated through out the time interval by comparing the history of power consumption to a set allocation. Available power predictions are transmitted to the at least one electric load. The at least one load control receives the power capability predictions and controls the energy usage of the at least one electric load such that the total energy usage of the facility does not exceed the set allocation.

CONTROLLER, SYSTEM, AND METHOD FOR MANAGING DISCHARGE OR CHARGE OF HETEROGENEOUS BATTERY PACKS

A controller, a system including such a controller, and a method for controlling or managing discharge or charge of a plurality of battery packs are provided. The controller includes one or more processor and at least one tangible, non-transitory machine readable medium encoded with one or more programs configured to perform steps to determining a voltage distribution parameter of each battery pack based on its maximum voltage, its minimum voltage for discharge, and a present voltage, assign ranks to the plurality of battery packs based on the voltage distribution parameters, and determine a respective power discharge or charge based on the rank of each battery pack and a total power demand. The controller provides signals with instructions to the plurality of battery packs and/or the one or more power converters for discharging power from or charging power to the plurality of battery packs.

Power Management Device and Power Management Method

An energy management controller (1) includes a virtual grid generating unit (110) that for each of grids, generates a virtual grid that collectively manages information including information on an energy resource and a wire, in order to carry out efficient power management, and a deal management unit (150) that based on the generated virtual grid, manages a power deal with a consumer-side supplied with power from the energy resource. The energy management controller (1) further includes an RE coloring unit (132) that classifies power by coloring to allow power deals based on RE coloring.

Renewable energy power plant simulator

A system for determining power flows in a power plant including an energy storage system (ESS) including an energy storage device and a power generation system comprising a power source includes at least one memory storing a power plant model. The power plant model includes an ESS model including an energy storage device model, a power generation system model, a load model of a load configured to receive power from the power plant, and system relationships between the ESS model, the power generation system model, and the load model. The system further includes at least one processor configured to receive input parameters for the load, determine a power flow rate at a point in the power plant or an energy storage level of the energy storage device at a first time step, and generate a record comprising an indication of the power flow rate or energy storage level.

Method for measuring AC impedance of battery in composite power supply power system

The present invention relates to a method for measuring the AC impedance of a battery in a composite power supply power system, comprising the following steps: determining the AC disturbance signal amplitude, operating the DC/DC voltage converter to generate the AC disturbance signal, collecting the output signals of the fuel cell and the lithium battery, calculating the output power of the fuel cell and the lithium battery; calculating the demand power of the load, and when the demand power is stable, calculating the impedance of the lithium battery and the fuel cell separately, otherwise, only the impedance of the fuel cell is calculated.

METHOD AND SYSTEM FOR CONTROLLING AN AMOUNT OF CHARGING RESOURCES AVAILABLE TO A PLURALITY OF ELECTRIC VEHICLE SUPPLY EQUIPMENTS

A method is disclosed for controlling an amount of charging resources available to a plurality of electric vehicle supply equipments, EVSEs. The method comprises receiving, from each of the plurality of EVSEs, data representing one or more actual charging profiles of respective one or more charging sessions. Each actual charging profile indicates for its charging session a plurality of values indicative of an amount of consumed charging resources at respective times ranging from an actual charging session start time to an actual charging session end time. Further, each actual charging profile is indicative of a total amount of energy provided to an electric vehicle during the charging session associated with the actual charging profile. The method further comprises, for each actual charging profile, determining a fictitious charging profile associated with a fictitious charging session based on the actual charging profile. The fictitious charging profile being indicative of the total amount ...

METHOD FOR CREATING AN OPERATING PLAN FOR CONTROLLING ENERGY COMPONENTS OF A BUILDING INFRASTRUCTURE

Die Erfindung betrifft ein Verfahren zum Erstellen eines Betriebsplans zur Steuerung und Regelung von Energiekomponenten (EN1, EN2) zumindest eines Gebäudes bzw. einer Gebäudeinfrastruktur mittels eines Energiemanagementsystems. Vom Betriebsplan wird für die jeweiligen Energiekomponenten (EN1, EN2) der Gebäudeinfrastruktur ein geplanter und/oder voraussichtlicher Energiebedarf in einem festgelegten, zukünftigen Zeithorizont beschrieben und für die Steuerung bzw. Regelung der Energiekomponenten (EN1, EN2) der Gebäudeinfrastruktur den jeweiligen Energiekomponenten (EN1, EN2) Sollwerte vorgegeben. Dabei werden zum Erstellen des Betriebsplans folgende Schritte durchlaufen: - Identifizieren (101) von Energiekomponenten (EN1, EN2) der Gebäudeinfrastruktur, welche einen identen Komponententyp aufweisen; - Zusammenfassen (102) der jeweiligen, mit identem Komponententyp identifizierten Energiekomponenten (EN1, EN2) zu einer jeweils zugehörigen Ersatzkomponente (SUB); - Ersetzen (103) der jeweiligen ...

СПОСОБ УПРАВЛЕНИЯ РАСПРЕДЕЛИТЕЛЬНОЙ ЭЛЕКТРИЧЕСКОЙ СЕТЬЮ, КОМПЬЮТЕРНОЕ УСТРОЙСТВО, УСТРОЙСТВО УПРАВЛЕНИЯ, РАСПРЕДЕЛИТЕЛЬНАЯ ЭЛЕКТРИЧЕСКАЯ СЕТЬ И ПРЕРЫВАТЕЛЬ ЦЕПИ

Использование: в области электротехники для управления распределительной электрической сетью, содержащей одно или несколько первых сетевых устройств, имеющих изменяемые уставки. Технический результат - обеспечение эффективноего регулирования режима потребления в распределительных электрических сетях и, тем самым, исключение или уменьшение нежелательных срабатываний устройств защиты от перегрузок. Способ согласно настоящему изобретению включает в себя этапы, на которых: определяют целевое значение потребления для указанной распределительной электрической сети, причем указанное целевое значение потребления определяют относительно конечного момента интервала времени наблюдения, в который осуществляют наблюдение за потреблением указанной распределительной электрической сети в заданном электрическом узле наблюдения указанной распределительной электрической сети; и выполняют процедуру управления для управления уставками указанных первых сетевых устройств. 5 н. и 8 з.п.ф-лы, 15 ил.

СПОСОБ УПРАВЛЕНИЯ ЭЛЕКТРИЧЕСКОЙ РАСПРЕДЕЛИТЕЛЬНОЙ СЕТЬЮ

Использование: в области электроэнергетики. Технический результат - обеспечениеэксплуатационной надежности электрической распределительной сети. Изобретение касается способа управления электрической распределительной сетью (400), причем предусмотрен пункт (458) управления сетью для управления электрической распределительной сетью (400), и электрическая распределительная сетью включает в себя несколько зон (482, 486) регулировки, причем каждая зона регулировки отдает обменную мощность (PAI) электрической распределительной сети (400) или забирает у нее, и причем, по меньшей мере, одна из зон (482) регулировки имеет, по меньшей мере, генератор, в частности, парк (410) ветровых установок для генерирования мощности (PGW) генераторов и дополнительно, по меньшей мере, потребителя (420) для забора мощности (PZ1) потребителей, причем, по меньшей мере, предусмотрено управление (484) зоны регулировки для управления, по меньшей мере, одним генератором, или соответственно, парком (410) ветровых установок ...

Verfahren und Vorrichtung zum Ermitteln einer überschüssigen Energiemenge eines elektrischen Energiespeichers eines Fahrzeugs

Es wird ein Verfahren zum Ermitteln einer überschüssigen Energiemenge eines elektrischen Energiespeichers eines Fahrzeugs (221) vorgeschlagen, bei dem die überschüssige Energiemenge einem Versorgungsnetz (225) zur Verfügung gestellt werden kann. Das Verfahren umfasst einen Schritt des Ermittelns einer aktuellen Energiemenge des Energiespeichers, einen Schritt des Ermittelns einer für eine bevorstehende Nutzung des Fahrzeugs (225) benötigten Energiemenge, ansprechend auf eine Information über die bevorstehende Nutzung und einen Schritt des Ermittelns der überschüssigen Energiemenge des Energiespeichers, basierend auf der aktuellen Energiemenge und der benötigten Energiemenge.

BETRIEBSUNTERSTÜTZUNGSVORRICHTUNG FÜR KRAFTWERK

Eine Betriebsunterstützungsvorrichtung legt eine Ausführungszeit der Überfeuerung fest, die als Betrieb eines Kraftwerks bei einer Ausgabe höher als eine Nennleistung dient. Die Vorrichtung umfasst eine Betriebsdauer-Indexwerterfassungseinheit, die zu einer Startzeit einen Betriebsdauer-Indexwert erfasst, wobei der Betriebsdauer-Indexwert ein Index ist, der eine Betriebsdauer des Kraftwerks anzeigt und sich mit der Ausgabe des Kraftwerks in einer Richtung im Wert ändert; eine Ausgabemuster-Einstelleinheit, die ein Ausgabemuster pro Zeiteinheit des Kraftwerks von der Startzeit bis zu einer Stoppzeit auf der Grundlage des Betriebsdauer-Indexwertes so einstellt, dass der Betriebsdauer-Indexwert einen vorbestimmten Wert erreicht; und eine Überfeuerungs-Einstelleinheit, die auf der Grundlage des Ausgabemusters eine Zeit in einer Zeitspanne von der Start- bis zur Stoppzeit einstellt, zu der die Überfeuerung durchgeführt werden soll.

Electrical heating and battery management system

A system comprising a human interface controller and a fluid heater. The human interface controller calculates the amount of electrical energy the user requires, forecasts the potential energy generated from a renewable source and determines the electricity required from the grid. The system securely communicates with the grid to optimise the cost of recharging the batteries and when excess energy is exported to the grid. The system is capable of controlling the use of household electrical devices to manage electrical demands and of communicating with battery management systems and existing fossil fuel heating systems. The fluid heater comprises a self-contained fluid surrounded by a second fluid to facilitate heat transfer between the fluids. The heating elements are heated by battery supplied electricity. The fluid heater may be used in conjunction with existing fossil fuelled heaters, grid supplied heaters and/or solar heaters.

Utility data processing system

Systems for machine learning, optimising and managing local multi-asset flexibility of distributed energy storage resources-divisional

A system for optimising and managing distributed energy storage resources gathers data and monitors usage of end devices and resources at remote sites in a network, and determines a battery charging plan for charging/discharging batteries at the remote sites, where the batteries may be electric vehicle (EV) batteries. End devices at the remote sites control charging in accordance with their charging plans, but also implement a charging protocol to respond to local constraints, congestion, or local limits, to optimise energy transmission. The charging protocol begins charging/discharging at an initial rate, periodically increments the rate towards a target rate according to the charging plan, determines that a local limit has been reached, and in response reduces the rate. The local limit may be determined by monitoring network voltage or frequency. The battery charging plan may be adjusted for market and tariff signals, weather data, location constraints, and energy use by the building ...

An improved microgrid control apparatus, method and system

A microgrid controller 70 monitors the energy consumption and/or generation of equipment within a microgrid, generates data representative of consumption/generation in a prior time period and nominates a time and length of a future time period. The energy data and time period data are transferred between the controller 70 and another microgrid controller. The controller includes a processor that selects a source or sink to be used during a future time period based on its own energy/time period data and that of another controller. The future time period may be determined using nomination data, which may comprise user instructions, data representing rate of change of energy generation/consumption in a prior time period and/or data representing equipment energy prediction data. The controller may control the operation of generators and loads based on the transferred data by connecting or disconnecting equipment and varying power drawn. The energy data may include numbers representing a value ...

A responsive load control method with changing load triggering frequencies

A method of controlling a responsive load 30 or population of responsive loads 30, connected to an electric power grid 10 with a nominal operating frequency, controls the power consumption of the loads 30 as a function of the time-varying frequency of the power grid 10. A frequency threshold is assigned to each load 30, which frequency triggers adjusted power consumption of the load 30. Un-triggered loads 30 available for power consumption alteration have their target frequencies adjusted, scaling to replace the frequency bands occupied by recently triggered loads 30, or to correspond to a frequency closer to the nominal frequency. Each adjustment may be of a predetermined amount, or a function of two consecutive network 10 frequency measurements. All available loads 30 may be adjusted by the same amount. A responsive load 30 to which such a method is applied, and a software product to execute the method are also provided.

An improved microgrid control apparatus, method and system

An Electronic Controller

Charge/discharge control apparatus and charge/discharge control method

Included are a power-generation amount calculating section calculating an expected amount of power-generation being an amount of power generated by a power generating section in the future, for each predetermined period, a power-consumption amount calculating section calculating an expected amount of power-consumption being an amount of power consumed by a power load, for the predetermined period, an excess power period determining section determining an excess power period, an excess power amount calculating section calculating an expected excess power amount, and a charge/discharge control section controlling charge/discharge of a battery so that a remaining amount of the battery at the beginning of the excess power period becomes an amount resulting from subtracting the expected excess power amount from a pre-set charge amount.

Rules engine with database triggering

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.

Electric vehicle charging scheduling system

A charging prediction database stores information on electric vehicles expected to arrive for charging. A profile/charging information database stores information on electric vehicles that have arrived and been waiting for charging. A power database stores information on a power source including at least one of a power grid and a stationary battery. An energy calculating unit calculates energy available from the power source based on the power database. A scheduling unit schedule charging of the electric vehicles waiting for charging in consideration of the electric vehicles expected to arrive.

System and method for operating a tap changer

A method of operating a tap changer of a transformer or a voltage regulator in a power grid includes obtaining a load forecast for a time period. An average voltage profile is determined for the time period based on the load forecast. The method further includes estimating tap positions of the tap changer for leveling the average voltage profile during the time period. Switching signal commands are provided to the tap changer based on the estimated tap positions.

Electrical distribution network improvement for plug-in electric vehicles

Electrical distribution network (EDN) improvement method for plug-in electric vehicles receives and stores in a database EDN configuration information, demography information and load information for simulating load of the EDN assets. The method dynamically updates the EDN configuration, demography information and/or load information to provide an efficient and customizable method of simulating a PEV load impact on an EDN configuration and apply improvements to the EDN in real time.

Load Leveling System of Power System

It is an object of the present invention to provide a load leveling system of a power system capable of attaining load leveling in a distribution substation unit and a method thereof. Disclosed is a load leveling system of a power system with a controller having a major customer and lower transforming apparatus, and with a customer connected to the lower transforming apparatus via a low-voltage line. The system also has a communication unit between the customer and its own system, and control use time zones of devices within the customer; an electric demand prediction unit, and a first load leveling processing unit. By employing such an arranged system, it becomes possible to provide a load leveling system of a power system capable of realizing load leveling of both a distribution substation unit and a pole transformer unit.

Systems and methods for optimizing microgrid power generation and management with predictive modeling

Systems and methods for coordinating selective activation of a multiplicity of emergency power generation equipment over a predetermined geographic area for distribution and/or storage to supply a microgrid of electrical power for a substantially similar geographic area.

Energy Management Method and System, and Computer Readable Storage Medium for Storing the Method

An energy management method is provided. The energy management method comprises the steps of retrieving load information from at least one load and retrieving energy-supplying information from an energy supply system having a grid power source, a renewable energy generation module and an energy storage module to instantly calculate first and second energy thresholds. When an energy production of the renewable energy generation module is smaller than the second energy threshold, the grid power source or the energy storage module is controlled to supply energy to the load. When the energy production is between the first and the second energy thresholds, the renewable energy generation module is controlled to supply energy to the load. When the energy production is larger than the first energy threshold, the renewable energy generation module is controlled to supply energy to the load and charge the energy storage module.

Clustering method, optimization method using the same, power supply control device

The present invention is a method for performing clustering of sizes of loads of a power supply system with history data for each predetermined period as objects to be classified, wherein the method is such that, for each of the history data, subtraction processing is performed thereupon in which the amounts of specific loads which have been identified as loads of the power supply system are deducted, whereupon clustering is performed for each of the history data for which the subtraction processing has been performed thereupon as the objects to be classified.

Weather and satellite model for estimating solar irradiance

Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery. This methodology provides logic for quantifying the impact of qualitative weather observations upon solar irradiance, and the integration of this methodology into solar irradiance estimation models.

Electronic power meter and method for storing data thereof

The present disclosure relates to an electronic power meter and a method for storing data thereof. The electronic power meter includes a communication unit that receives a critical peak pricing rate data, a memory that stores first metering data corresponding to the critical peak pricing rate data received via the communication unit, and second metering data corresponding to a predetermined varying pricing rate data, the memory storing the first metering data and the second metering data into different storage areas respectively, and a controller that calculates metering data by applying a corresponding rate for each time slot according to the varying pricing rate or the critical peak pricing rate.

Policy-driven 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.

Continuous Dynamic Balancing of Generation and Loads

Methods and apparatus for dynamically balancing at least one load characterized by an associated energy reservoir with at least one renewable energy source where both the load and the renewable energy source coupled to a power transmission system. A central controller regulates energy delivery to one or more loads over the power transmission system by anticipating energy demand over an interval of time, accounting for the status of the associated energy reservoir. Each load is linked with at least one renewable energy source. The anticipated energy demand is synchronized with delivery of energy by the renewable energy source by commands delivered to a local switching and monitoring device coupled to the load and subject to override by a local user.

Electricity storage apparatus for controlling power consumption and method therefor

A method for controlling power consumption by an electricity storage apparatus is provided. The method includes receiving, from a utilizing side, an inquiry request signal for inquiring whether power supply from the electricity storage apparatus is possible, inquiring an amount of charged power from the electricity storage apparatus compared to a capacity of the electricity storage apparatus, comparing a required amount of power, which is included in the inquiry request signal, with the amount of charged power, and based on the comparison result, determining an amount of power to supply to the utilizing side and whether to switch to an operation mode of supplying the amount of power to the utilizing side, and upon determining to switch to the operation mode, checking an amount of available supply power in accordance with the operation mode, and transmitting information about the checked amount of available supply power to the utilizing side.

System and Method for Energy Storage Management

A method is provided for efficiently managing energy consumption using stored energy. The method accepts input energy (e.g., from a power utility) and maintains a record of energy consumption. An energy consumption peak is predicted in response to analyzing the record of energy consumption, and the input energy is augmented with stored energy during the predicted energy consumption peaks. More explicitly, a peak shaving value is selected based on a fraction of the predicted energy consumption peak, and the stored energy is used when energy consumption exceeds the peak shaving value. In one aspect, after a determination is made to use stored energy, it is simply used while it is available. Otherwise, it is supplied based upon an analysis of a predicted value of the stored energy.

Method and apparatus for delivering power using external data

A control system for an energy storage system located behind a utility meter uses a unique, feedback-based, communication and control method to reliably and efficiently maximize economic return of the energy storage system. Operating parameters for the energy storage system are calculated at an external, centralized data center, and are selected to prevent electrical power demand of an electric load location from exceeding a specified set-point by discharging energy storage devices, such as DC batteries, through a bidirectional energy converter during peak demand events. The control system can operate autonomously in the case of a communications failure.

Method for balancing frequency instability on an electric grid using networked distributed energy storage systems

Embodiments of the present invention include control methods employed in multiphase distributed energy storage systems that are located behind utility meters typically located at, but not limited to, medium and large commercial and industrial locations. These distributed energy storage systems can operate semi-autonomously, and can be configured to develop energy control solutions for an electric load location based on various data inputs and communicate these energy control solutions to the distributed energy storage systems. In some embodiments, one or more distributed energy storage systems may be used to absorb and/or deliver power to the electric grid in an effort to provide assistance to or correct for power transmission and distribution problems found on the electric grid outside of an electric load location. In some cases, two or more distributed energy storage systems are used to form a controlled and coordinated response to the problems seen on the electric grid.

Quantitative monthly visual indicator to determine data availability for utility rates

A system for allocating resources across equipment that operate to serve one or more loads of a building. The system includes one or more memory devices storing instructions that cause one or more processors to receive operational data defining at least one of planned loads to be served by the equipment or utility rates for one or more time steps within a simulation period, determine whether the operational data define the planned loads or the utility rates for each time step within the simulation period, and in response to a determination that the operational data do not define the planned loads or the utility rates for each time step within the simulation period, identify one or more time steps for which the planned loads or the utility rates are not defined and initiate an action to define the planned loads or the utility rates for the identified time steps.

Machine learning of electrical system behavior, and related systems, apparatuses, and methods

The present disclosure is directed to machine learning of electrical power system behavior, and related systems, apparatuses, and methods. A controller of an electrical power system includes a data storage device configured to store model data indicating a model load power consumed by loads of the electrical power system. The controller also includes a processor configured to determine current data including current load power consumed by the loads, modify the model data by aggregating the model data with the current data, and determine a set of control values for a set of control variables to effectuate a change to operation of the electrical power system based, at least in part, on the model data.

SYSTEM, DEVICE, AND METHOD FOR OFF-GRID MICROGRIDS MANAGEMENT

A method, system, and device for managing off-grid power supply are provided. The method includes acquiring data from one or more loads. The one or more loads are connected to the off-grid power supply. The method further includes modeling the one or more loads based on the acquired data, estimating a state of charge of an energy storage device (ESD) associated with the off-grid power supply, and determining an operational status of each of the one or more loads. The operational status is based on at least the state of charge of the ESD and a category of each of the one or more loads. Each load is controlled based on the operational status. 1. A method for managing an off-grid power supply , the method comprising:acquiring data from one or more loads connected to the off-grid power supply;modeling, using processing circuitry, the one or more loads based on the acquired data;estimating, using the processing circuitry, a state of charge of an energy storage device (ESD) associated with the off-grid power supply;determining, using the processing circuitry, an operational status of each of the one or more loads based on at least the state of charge of the ESD and a category of each of the one or more loads; andcontrolling each load based on the determined operational status.2. The method of claim 1 , further comprising:identifying a parameter value as a trigger point according to the state of charge of the energy storage device for a thermostatic load,wherein the thermostatic load is switched on and off according to thermostatic parameters using the identified parameter value as the trigger point.3. The method of claim 2 , further comprising:determining upper and lower limits for the thermostatic parameters that are different than other upper and lower limits for the thermostatic parameters when the thermostatic load is connected to a non-dispatchable power source.4. The method of claim 1 , wherein the controlling of the load includes:controlling a power supply to one ...

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, STORAGE MEDIUM, PORTABLE ELECTRIC GENERATOR, AND RENTAL SYSTEM

An information processing apparatus comprises an acquisition unit configured to acquire information according to the usage circumstances of the portable electric generator; an estimation unit configured to estimate a type of an electrical device that is connected, based on a measurement result with respect to a voltage and a current when the portable electric generator supplied electric power that is included in the information according to the usage circumstances; and a calculation unit configured to calculate a rental fee associated with an electric power amount supplied by the portable electric generator at the rental destination, using a billing coefficient corresponding to an electrical device estimated by the estimation unit, and the measurement result. 1. An information processing apparatus managing usage circumstances at a rental destination of a portable electric generator configured to supply electric power to a detachably connected electrical device , the apparatus comprising:an acquisition unit configured to acquire information according to the usage circumstances of the portable electric generator;an estimation unit configured to estimate a type of an electrical device that is connected, based on a measurement result with respect to a voltage and a current when the portable electric generator supplied electric power that is included in the information according to the usage circumstances; anda calculation unit configured to calculate a rental fee associated with an electric power amount supplied by the portable electric generator at the rental destination, using a billing coefficient corresponding to an electrical device estimated by the estimation unit, and the measurement result.2. The information processing apparatus according to claim 1 , whereinthe portable electric generator includes a communication unit configured to perform a radio communication with the information processing apparatus; andthe acquisition unit receives the information according ...

Apparatus, methods, computer programs, and non-transitory computer readable storage mediums for controlling a power generation system

Apparatus for controlling a power generation system, the apparatus comprising a controller configured to: identify a trigger indicative of a future change in electrical power output by the power generation system to a first power level; control the power generation system to change electrical power output to a second power level in response to the trigger, the second power level being equal to, or different to the first power level; and control supply of at least a portion of the electrical power output from the power generation system at the second power level to an electrical energy storage system to charge the electrical energy storage system

SYSTEM AND METHOD FOR MANAGEMENT, FORECATING AND DISAGGREGATION OF POWER CONSUMPTION DATA

System and method of disaggregating power consumption data, the method including receiving power consumption data from at least one power consumption meter, wherein the received power consumption data corresponds to at least one consumer, determining power consumption patterns from the received power consumption data, performing disaggregation of the received power consumption data and identifying at least one base load value for at least one consumer based on the power consumption patterns, grouping consumers into energetically similar groups based on the disaggregation, and providing energy saving recommendations to at least one consumer based on the disaggregation and grouping data. 1. A method of disaggregating power consumption data , the method comprising:receiving power consumption data from at least one power consumption meter, wherein the received power consumption data corresponds to at least one consumer;determining power consumption patterns from the received power consumption data;performing disaggregation of the received power consumption data and identifying at least one base load value for at least one consumer based on the power consumption patterns;grouping consumers into energetically similar groups based on the disaggregation; andproviding energy saving recommendations to at least one consumer based on the disaggregation and grouping data.2. The method of claim 1 , further comprising:storing historical power consumption data; andaveraging the grouping data.3. The method of claim 1 , further comprising comparing the energy saving recommendations with a control group.4. The method of claim 1 , further comprising:receiving feedback from at least one user; andcomparing the received feedback with the recommendation results.5. The method of claim 1 , further comprising grouping consumers into energetically similar groups based on the power consumption patterns claim 1 , wherein determining energy saving recommendations to at least one consumer is also ...

SUPPORTING ELECTRICAL UTILITY PERFORMANCE WITH DISPATCHABLE 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 1 s 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 ...

Building control system using reinforcement learning

A method of operating a building management system is disclosed. The method includes determining, by a processing circuit, policy rankings for a plurality of control policies based on building operation data of a first previous time period, selecting, by the processing circuit, a set of control policies from among the plurality of control policies based on the policy rankings of the set of control policies satisfying a ranking threshold, generating, by the processing circuit, a plurality of prediction models for the set of control policies, selecting, by the processing circuit, a first prediction model of the plurality of prediction models based on building operation data of a second previous time period, and responsive to selecting the first prediction model, operating, by the processing circuit, the building management system using the first prediction model.

Method and apparatus for optimizing a hybrid power system with respect to long-term characteristics by online optimization, and real-time forecasts, prediction or processing

An apparatus optimizes a hybrid power system with respect to long-term characteristics of the hybrid power system. The apparatus includes a real-time controller of the hybrid power system and a processor. The processor cooperates with the real-time controller and is structured to input current measurements of information from the hybrid power system and hybrid dynamics information including continuous dynamics and discrete time dynamics that model the hybrid power system. The processor provides online optimization of the hybrid power system based upon the input, and outputs a power flow reference and a number of switch controls to the real-time controller based upon the online optimization. The processor is further structured to provide at least one of: real-time forecasts or real-time prediction of future information operatively associated with the hybrid power system as part of the input, and real-time processing of the online optimization.

METHOD FOR CONTROLLING POWER OF ELECTRONIC DEVICE AND SERVER THEREFOR

Disclosed is a server comprising: at least one processor; a communication circuit electrically connected to the at least one processor and transmitting or receiving a signal to/from an external device; and a memory electrically connected to the at least one processor and storing group information and control information, the group information representing at least one group including a group comprising a first electronic device and a second electronic device, and the control information being associated with each of the at least one group, wherein the at least one processor is configured so as to acquire demand response (DR)-associated information, and as a response to the DR-associated information, transmit the control information associated with the group to the first electronic device and the second electronic device. In addition, various embodiments are possible as identified in the specification. 1. A server , comprising:at least one processor;a communication circuit configured to be electrically connected with the at least one processor and transmit or receive a signal with an external device; anda memory, electrically connected with the at least one processor, for storing group information indicating at least one group including a group including a first electronic device and a second electronic device and control information associated with the at least one group, obtain information associated with a demand response (DR); and', 'transmit the control information associated with the group to the first electronic device and the second electronic device, in response to the information associated with the DR., 'wherein the at least one processor is configured to2. The server of claim 1 ,wherein the at least one group includes another group including a third electronic device, andwherein the at least one processor is configured to transmit control information associated with the another group to the third electronic device, in response to the information ...

METHOD FOR PLANNING AN ELECTRICAL POWER TRANSMISSION NETWORK, PLANNING ARRANGEMENT AND COMPUTER PROGRAM PRODUCT

A method for planning an electrical power transmission network using a planning arrangement includes providing a first input dataset, and converting the first input dataset into graphical representation using a conversion device. The graphical representation contains topology information for interconnection of equipment items and data communication information and parameterization information for equipment items. Different types of equipment are distinguished by a first identifier, electrical connections are distinguished by a second identifier and data communication links are distinguished by a third identifier. Multiply recurring patterns in the graphical representation are identified by a pattern recognition device. A respective frequency of patterns is determined by the pattern recognition device. All patterns having a frequency exceeding a predetermined threshold are marked as candidate samples by the pattern recognition device. Typical configurations are selected from the candidate patterns using a selection criterion. A planning arrangement and a computer program product are also provided. 1. A method for planning an electrical power transmission network by using a planning arrangement , the method comprising the following steps:providing a first input dataset;converting the first input dataset into a graphical representation by using a conversion device, the graphical representation containing topology information for an interconnection of equipment items, data communication information for the equipment items and parameterization information for the equipment items;distinguishing different types of equipment by using a first identifier;distinguishing electrical connections by using a second identifier;distinguishing data communication links by using a third identifier;identifying patterns recurring more than once in the graphical representation by using a pattern recognition device;determining a respective frequency of the patterns by using the pattern ...

REACTIVE POWER CONTROL IN POWER SYSTEMS

Based on information from a controller scheduling data traffic in a processing arrangement, a super capacitor unit is activated, whereby reactive power is fed to a system bus of said power system. The controller is configured to have information at time t(n) about the data traffic workload of the processing arrangement at time t(n+1). By triggering discharge of the super capacitor unit based on super capacitor data at time t(n+1), transients on a system bus voltage are, at least in part, smoothed out at time t(n+1), which reduces the need for reactive power of the power system, where said transients are related to the data traffic workload of the processing arrangement. The power efficiency of the power system can be improved by 3-4% by the reduction of the need for reactive power from a power grid, for which reason the electrical bill of an operator is reduced. 1. A method of controlling reactive power of a power system , the power system comprising a power supply unit , PSU , with a power input connected to a power grid , the PSU having a power output connected to a power input of a power distribution unit , PDU , that distributes power to a processing arrangement , whereby the power system serves the processing arrangement with power via the PDU , the processing arrangement having a data traffic workload , the power system further comprising a super capacitor unit being connected to the power output of the PSU , the method being performed by a controller connected to the processing arrangement , the PDU and the super capacitor unit , the controller being configured to schedule the data traffic workload of the processing arrangement , whereby the controller is configured to have information at time t(n) about the data traffic workload of the processing arrangement at a subsequent time t(n+1) , where the time t(n+1) is one time interval from , and next to , the time t(n) , the method comprising:obtaining at time t(n), information about data traffic workload to be ...

CHARGING-DISCHARGING DEVICE, CHARGING-DISCHARGING SYSTEM, AND CHARGING-DISCHARGING CONTROL METHOD

A charging-discharging device includes a selection unit to acquire estimated load power data indicating estimation of power to be consumed by an electric load, to acquire estimated solar power-generation power data indicating estimation of power to be generated by a solar power generation system, and to select one of a plurality of specific operations regarding usage of power on the basis of the estimated load power data, the estimated solar power-generation power data, operational mode data indicating an operational mode that identifies a power utilization method, price data indicating a price of AC power to be supplied from a commercial system and a price of AC power to be supplied to the commercial system, power conversion efficiency data indicating power conversion efficiency of a power converter at the time of charging or discharging a storage battery, and current time data. 1. A charging-discharging device comprising:a power converter to convert AC power supplied for charging a storage battery to DC power, and convert DC power discharged from the storage battery to AC power;a first power detector to detect AC power supplied from a commercial system and detect AC power to be supplied to the commercial system;a second power detector to detect AC power supplied from a solar power generation system that generates power using solar light;a third power detector to detect AC power supplied from the power converter and detect AC power to be supplied to the power converter;a fourth power detector to detect AC power to be supplied to an electric load that consumes power;a memory to store therein load power value data indicating a load power value that is a power value detected by the fourth power detector, estimated local solar-radiation data indicating estimation of solar radiation in a local area including a location where the solar power generation system is installed, operational mode data indicating an operational mode that identifies a power utilization method, ...

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).

DATA CENTER ENERGY MANAGEMENT SYSTEM

This disclosure describes techniques that include managing flows of energy within a system that includes a data center and using at least some of the energy flows to provide power to the data center. In some examples, this disclosure describes a system comprising a power generation system, a battery storage system having a state of charge attribute, and processing circuitry having access to an electrical power grid, the power generation system, and the battery storage system. In one example, the processing circuitry is configured to: determine an energy utilization forecast for a data center; monitor energy availability factors; and determine, based on the energy utilization forecast and the monitored energy availability factors, an energy flow configuration defining energy flows involving with the electrical power grid, the power generation system, the battery storage system, and the data center. 1. A system comprising:a power generation system;a battery storage system having a state of charge attribute; and determine an energy utilization forecast for a data center,', 'monitor energy availability factors,', 'determine, based on the energy utilization forecast and the monitored energy availability factors, an energy flow configuration defining energy flows involving the electrical power grid, the power generation system, the battery storage system, and the data center, wherein the energy flow configuration includes information identifying one or more of the power grid, the power generation system, or the battery storage system as a source of power for the data center,', 'provide power to the data center based on the energy flow configuration, and', 'manage energy flows involving the battery storage system based on the energy flow configuration., 'processing circuitry having access to an electrical power grid, the power generation system, and the battery storage system, wherein the processing circuitry is configured to2. The system of claim 1 , wherein the power ...

METHOD AND SYSTEM FOR BUILDING REINFORCEMENT LEARNING (RL) BASED MODEL FOR GENERATING BIDS

In energy markets in which bidding process is used to sell energy, it is important that a mechanism for deciding bidding amount is in place. State of the art systems in this domain have the disadvantage that they rely on simulation data, and also they make certain assumptions, and both the factors can affect accuracy of results when the systems are deployed and are expected to handle practical scenarios. The disclosure herein generally relates to energy markets, and, more particularly, to a method and a system for Reinforcement Learning (RL) based model for generating bids. The system trains a RL agent using historical data with respect to competitor bids places and Market Clearing Prices (MCPs). The RL agent then processes real-time inputs and generates bidding recommendations. 1. A system for reinforcement based bidding in an energy market , comprising:a communication interface;a memory, wherein the memory comprises a Markovian Decision Process (MDP) based model of the energy market; [ [{'sub': t+h', 't+h−48', 't+h−48', 't+h−336', 't+h−336, 'defining a state space of the RL agent by using a plurality of state space parameters comprising (i) a forecasted demand Dfor the consumption slot t+h that is available at time slot t, (ii) a realized demand Dand a Maximum Clearing Price (MCP) Pat the time slot t+h−48 which precedes the consumption slot t+h by 24 hours, and (iii) a realized demand Dand MCP Pat the time slot which precedes the consumption slot by one week, as state space variables; and'}, {'sub': θ', 'θ, 'defining an action space of the RL agent, comprising defining one or more actions for each state ‘s’ in the state space, wherein the one or more actions when executed, maximize an estimated state-action value function Q(s, a) of each state in the state space to minimize error between the estimated state-action value function Q(s, a) and a true state action value function Q(s, a) is minimum; and'}], 'training a RL agent of the system, by modeling interaction of ...

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.

METHOD AND SYSTEM OF PREDICTING ELECTRIC SYSTEM LOAD BASED ON WAVELET NOISE REDUCTION AND EMD-ARIMA

A method and a system of predicting an electric system load based on wavelet noise reduction and empirical mode decomposition-autoregressive integrated moving average (EMD-ARIMA) are provided. The method and the system belong to a field of electric system load prediction. The method includes the following steps. Raw load data of an electric system is obtained first. Next, noise reduction processing is performed on the load data through wavelet analysis. The noise-reduced load data is further processed through an EMD method to obtain different load components. Finally, ARIMA models corresponding to the different load components are built. Further, the ARIMA models are optimized through an Akaike information criterion (AIC) and a Bayesian information criterion (BIC). The load components obtained through predicting the different ARIMA models are reconstructed to obtain a final prediction result, and accuracy of load prediction is therefore effectively improved. 1. A method of predicting an electric system load based on wavelet noise reduction and empirical mode decomposition-autoregressive integrated moving average (EMD-ARIMA) , comprising:(1) obtaining electric load data of an electric system corresponding to different moments, wherein when the electric load data is provided at unequal intervals, interpolation is performed on the electric load data to obtain the electric load data provided at equal intervals;(2) performing noise reduction processing on the electric load data through wavelet analysis;(3) further processing the noise-reduced electric load data through an EMD method to obtain different load components;(4) building ARIMA models corresponding to the different load components;(5) optimizing the ARIMA model corresponding to each of the load components through an Akaike information criterion (AIC) and a Bayesian information criterion (BIC); and(6) reconstructing the load components obtained by predicting the optimized different ARIMA models to obtain a final ...

Regulating the Operating Point of a Power Inverter

A method is provided for power limiting in a power inverter configured to produce an output voltage and having a voltage regulator with a voltage setpoint defined for no load on an external bus line. The method includes determining a power level related to a load on the external bus line, determining an adjusted voltage setpoint based on the power level, including: decreasing the voltage setpoint to the adjusted voltage setpoint having a first value when the power level is above a maximum threshold, increasing the voltage setpoint to the adjusted voltage setpoint having a second value when the power level is below a minimum threshold, and slewing the adjusted voltage setpoint to the voltage setpoint so that the adjusted voltage setpoint has a third value when the power level is within a range defined by the maximum threshold and the minimum threshold. 1. A method for power limiting in a power inverter connected to an external bus line , the power inverter configured to produce an output voltage and having a voltage regulator with a voltage setpoint defined for no load on the external bus line , the method comprising:determining a power level related to a load on the external bus line; 'slewing the adjusted voltage setpoint to the voltage setpoint when the power level is within a range defined by a maximum threshold and a minimum threshold; and', 'determining an adjusted voltage setpoint based on the power level, includingcausing the voltage regulator to regulate the output voltage based on the adjusted voltage setpoint.2. The method of claim 1 , wherein the adjusted voltage setpoint has a value no less than 20% of the voltage setpoint when the power level is above the maximum threshold.3. The method of claim 1 , wherein the adjusted voltage setpoint has a value no greater than 120% of the voltage setpoint when the power level is below the minimum threshold.4. The method of claim 1 , wherein slewing the adjusted voltage setpoint includes slewing the adjusted voltage ...

ENERGY MANAGEMENT SYSTEM AND ENERGY MANAGEMENT METHOD

To create a charging/discharging plan when a vehicle including a storage battery is chargeable/dischargeable at a plurality of facilities. An energy management system includes a schedule management unit configured to manage a schedule for moving from a first facility to a second facility, and a charging/discharging plan creation unit configured to create a first charging/discharging plan being a charging/discharging plan for a storage battery in each of the first facility and the second facility, in which the charging/discharging plan creation unit is configured to create the first charging/discharging plan with which the storage battery discharges at the first facility while leaving moving power being power for the vehicle to move from the first facility to the second facility. 110.-. (canceled)11. An energy management system for managing charging/discharging of a storage battery of a vehicle equipped with the storage battery , comprising:one or more processor to execute a program; andone or more memory to store the program which, when it is executed by the processor, causes the processor to perform processes comprising:managing a schedule for the vehicle to move from a first facility being a facility at which the storage battery is chargeable/dischargeable, to a second facility being a facility at which the storage battery is chargeable/dischargeable; andcreating a first charging/discharging plan being a charging/discharging plan for the storage battery in each of the first facility and the second facility, whereincreating the first charging/discharging plan is to create the first charging/discharging plan with which the storage battery discharges at the first facility while leaving moving power being power for the vehicle to move from the first facility to the second facility,the processes further comprisingmanaging power unit price information being information including a power unit price at each time of the first facility and the second facility, ...

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.

Systems and methods for optimizing microgrid power generation and management with predictive modeling

Systems and methods for coordinating selective activation of a multiplicity of emergency power generation equipment over a predetermined geographic area for distribution and/or storage to supply a microgrid of electrical power for a substantially similar geographic area.

Methods and systems for providing an estimated utility expenditure

A computer-implemented method for providing an estimated utility expenditure to a user may include: obtaining, via one or more processors, historical transactional data of one or more customers other than the user from one or more transactional entities, wherein the historical transactional data includes: at least one address of a given customer of the one or more customers; and a historical utility expenditure associated with the at least one address; generating, via the one or more processors, a heatmap based on the historical transactional data of the one or more customers via one or more algorithms, wherein the heatmap is indicative of at least the estimated utility expenditure associated with the at least one address during a predetermined period; and causing a display of a user device associated with the user to demonstrate the heatmap.

Operation plan planning system for planning an operation plan of a power plant and operation plan planning method for planning an operation plan of a power plant

A system for planning operation of a power plant capable of a first mode driving a power generator using a turbine and a second mode not driving the power generator using the turbine over a predetermined period. A determination unit determines whether a predicted power-selling price is higher than a power generation cost; and a planning unit calculates a loss index of the first and second modes in a case where the predicted selling price is equal to the generation cost or less within the predetermined period and formulates a plan to operate the power plant in a mode having a smaller loss index. The loss index of the first mode includes a power-selling loss that is a difference between the predicted selling price and the generation cost, and the loss index of the second mode includes a loss that is caused by not driving the power generator.

Establishing Communication and Power Sharing Links Between Components of a Distributed Energy System

Disclosed herein is a method and system for sharing power or energy across various power supply and control modules. More specifically, disclosed herein are systems and methods for distributing energy. As explained herein, the method discloses receiving, at a microgrid, data from a plurality of data sources. The data is then analyzed to forecast power needs associated with the microgrid. Using the data, the microgrid may determine whether and when to share power with the requesting module.

Controlling a Load and an Energy Source Based on Future Energy Level Determinations

Described in this disclosure are embodiments for controlling a load and an energy source associated with an entity. A system may determine a first energy level, along with variability for the first energy level, associated with the entity for a first period (e.g., prior to a present time). The system may further determine a contextual data, along with variability for the contextual data, associated with the entity for a second period (e.g., after the present time). The first and second energy levels may be received from one or more control devices in communication with the system. The system may determine a second energy level associated with the entity for the second period. The second energy level may be based at least partly on the first energy level and the contextual data. The system may control, based at least partly on the second energy level, the load and the energy source.

MICROGRID SYSTEM COMPRISING ENERGY MANAGEMENT SYSTEM OF ENERGY STORAGE SYSTEM (ESS)-CONNECTED PHOTOVOLTAIC POWER SYSTEM

An improved EMS (Energy Management System) of ESS (Energy Storage System)—connected photovoltaic power system is provided, where the economic efficiency of the microgrid power transaction is maximized by minimizing the amount paid to the power system as a result of optimal operation as to the energy supply and demand in the process of transacting power surplus/shortage with the power system, the responsiveness to passive resource energy forecasting of supply and demand is improved by resolving the uncertainty of solar power generation forecasting and load forecasting, the deterioration of the available storage capacity of ESS is minimized, and contribution to solving the nation's power supply shortage is made by the operation based on the detailed identification of energy storage status of ESS. 1. A microgrid system comprisingan energy generation (EG) system;one or more electrical load coupled to the EG system;an ESS (energy storage system) coupled to the EG system and the electrical load;an EMS (energy management system) for managing energy of the microgrid including the EG, the one or more electrical load, the ESS, and power transaction between the microgrid and a system power (grid);wherein the EMS comprises:a first module which forecasts power supply and demand, does operation scheduling, and controls ESS that stores EG electricity;a second module for checking and managing state of charge of the ESS;a third module for calculating and managing the discharge rate of the ESS;a fourth module for system power flattening control to reduce a difference between maximum value and minimum value of system power by checking the load, the EG system generation amount, charge/discharge rate of the ESS, and the system power (grid) power usage by the microgrid;a fifth module for system power smoothing control reducing a variation in the usage of system power by time periods;a sixth module for controlling power smoothing of the ESS;a seventh module for controlling the peak of ...

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

Systems and methods for managing electrical load control events in an electric power grid are disclosed. A server processor is operable to generate an energy consumption profile for each of the plurality of service points. Each energy consumption profile comprises energy consumption information for a plurality of controllable energy consuming devices. The server processor selects at least one service point from the plurality of service points based on a predetermined criterion and sends at least one load control event to the at least one service point in response to an energy reduction request. The server processor determines an energy saving resulting from the at least one load control event at the at least one service point. The energy saving is determined based on a monetary supply equivalent value for each of the plurality of controllable energy consuming devices. 1. A system for managing electrical load control events in an electric power grid , comprising:a server processor coupled with a database in network communication with a plurality of service points;wherein each of the plurality of service points is associated with at least one management device and at least one power consuming device;wherein a customer profile is associated with each of the at least one management device, wherein the customer profile includes preference data for the at least one power consuming device;wherein the server processor receives at least one energy reduction request, including a target energy saving from at least one electric grid operator;wherein, in response to the at least one energy reduction request, the server processor is operable to send at least one load control event to the at least one management device associated with at least one of the plurality of service points;wherein the at least one management device is operable to turn off the at least one power consuming device, based on the preference data of the customer profile associated with the at least one ...

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.

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.

Systems and Methods for Utilities-Based Network Management

An illustrative network management system obtains sensor data from one or more sensors at a network facility at which network equipment of a communication network is deployed. The sensor data includes image data representing imagery of the network facility. The system determines a utilization of a utility at the network facility based on the sensor data and performs, based on the utilization, a management operation for the communication network. Corresponding methods and systems are also described. 1. A method comprising:obtaining, by a network management system, sensor data from one or more sensors at a network facility at which network equipment of a communication network is deployed, the sensor data including image data representing imagery of the network facility;determining, by the network management system and based on the sensor data, a utilization of a utility at the network facility; andperforming, by the network management system and based on the utilization of the utility at the network facility, a management operation for the communication network.2. The method of claim 1 , wherein:the communication network comprises a provider network operated by a network provider;the network facility is located at an edge of the provider network; andthe network equipment comprises a multi-access edge computing (MEC) server deployed at the network facility.3. The method of claim 1 , wherein the utilization of the utility at the network facility comprises a utilization of electrical power at the network facility.4. The method of claim 1 , wherein the utilization of the utility at the network facility comprises a utilization of physical space available at the network facility.5. The method of claim 1 , wherein the utilization of the utility at the network facility comprises a utilization of temperature at the network facility claim 1 , a cooling utility at the network facility claim 1 , or electrically conductive connectors at the network facility.6. The method of claim ...

Building system with probabilistic forecasting using a recurrent neural network sequence to sequence model

A building system for building data point prediction, the building system comprising one or more memory devices configured to store instructions, that, when executed by one or more processors, cause the one or more processors to receive first building data for a building data point of a building and generate training data, the training data comprising a probability distribution sequence comprising a first probability distribution for the building data point. The instructions cause the one or more processors to train a prediction model based on the training data, receive second building data for the building data point, and predict, for one or more time-steps into the future, one or more second probability distributions with the second building data based on the prediction model, each of the one or more second probability distributions being a probability distribution for the building data point at one of the one or more time-steps.

Power distribution control system

A power distribution control system having a string of power assets comprising at least two different power assets selected from sources, stores and responsive loads is disclosed. The assets and associated local routers communicate with a central server and attempt to fulfil high level aims of the server by negotiating times and quantities of power transfer between themselves. Preferably a database stores parameters in relation to the power assets. Preferably a control system at the server anticipates future activity, such as future peaks in demand or supply, in the grid, and local power assets prepare in response. Preferably the power assets communicate between themselves on a peer-to-peer basis and collectively confirm to the server their ability to modify their collective behavior in response to an event in the grid.

Dynamic energy consumption and harvesting with feedback

According to embodiments of the present invention, techniques are provided for producing energy from one or more energy production sources. Energy consumption and energy production sources for an entity in a geographic location are analyzed. Sensor data based on the analysis of the entity is collected, wherein the sensor data includes crowdsourced sensor data. A model is generated based on the collected sensor data and the analysis of the entity, wherein the model includes optimization criteria for energy production. The model is utilized to determine an energy production source and energy production for the entity. Occurrence of a triggering event is detected, and the energy production source is adjusted based on the detected triggering event. The model is updated based on newly collected sensor data.

System And Method For Intelligent Data Center Power Management And Energy Market Disaster Recovery

Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, infrastructure elements, application elements, power elements, virtual machine elements, analytics/automation/actions layer, analytics or predictive analytics engine, automation software, actions software, energy markets analysis layer and software and intelligent energy market analysis elements or software. Plurality of data centers employ the systems and methods comprised of a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages. Systems and methods may be employed to enable application load balancing and data center power load balancing across a plurality of data centers and may lead to financial benefits when moving application and power loads from one data center location using power during peak energy hours to another data center location using power during off peak hours.

PREDICTIVE GRID CONTROL METHODS, APPARATUS AND COMPUTER PROGRAM PRODUCTS

A prediction of an electric power consumption and/or a generation of at least one of a load and a source coupled to an electric power grid is generated responsive to a forecast of an event. A desired state of an asset on the grid is identified responsive to the prediction. A functional representation of a control scheme for the asset is identified based on a sensitivity of the control parameter to a variance in operation of the electric power grid with respect to the prediction. 1. (canceled)2. A method for controlling assets that provide and/or consume energy on an electric power grid , the method comprising:a system controller determining a functional representation of a control scheme for an asset on the grid based on a sensitivity of a set point for the asset to a variance of electric power consumption and/or generation of at least one of a load and a source on the grid;the system controller transmitting the functional representation to a local controller associated with the asset; andthe local controller controlling the asset responsive to the functional representation.3. The method of claim 2 , wherein the functional representation includes a first function that relates real power to a voltage frequency and a voltage magnitude and a second function that relates reactive power to the voltage frequency and the voltage magnitude.4. The method of claim 3 , wherein determining a functional representation comprises generating a set of coefficients for the first and second functions.5. The method of claim 3 , wherein controlling the asset comprises operating a droop control scheme that uses the functional representation.6. The method of claim 2 , wherein determining a functional representation comprises generating a set of coefficients for the first and second functions.7. The method of claim 2 , wherein the asset comprises at least one of a power source and a load.8. The method of claim 2 , further comprising the system controller determining the sensitivity.9. The ...

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.

ENERGY MANAGEMENT SYSTEM

A building having a network of energy storage and energy consuming assets, which is connected to an alternating current electric supply grid having a normal frequency through an energy management system linked to a server. The energy management system measures over a period of time the energy consumption against time of the energy consuming assets and stores the measurements taken, measures over a period of time the energy stored against time in the energy storing assets and stores the measurements taken. The measurements of energy consumption and energy stored are used to derive the base net energy need in particular time periods. The net energy need in individual time periods is exported to one or more third parties. 1. A building having a network of energy storage and energy consuming assets , said network being connected to an alternating current electric supply grid having a normal frequency through an energy management system linked to a server: in which the energy management system measures over a period of time the energy consumption against time of the energy consuming assets and stores the measurements taken , measures over a period of time the energy stored against time in the energy storing assets and stores the measurements taken , and uses the measurements of energy consumption and energy stored to derive the base net energy need in particular time periods , and exports the net energy need in individual time periods to one or more third parties.2. The building of in which the energy consumed or stored in the network varies according to requests made by one or more third parties.3. The building of in which the impact of varying the energy demands upon the building is evaluated and such evaluation is used to accept or reject such a request by a third party4. The building of in which the overall benefit to the system of requests or offers made by multiple third parties is evaluated by the energy management system according to either predetermined or ...

UAV AIRWAYS SYSTEMS AND APPARATUS

UAV airways system generally are disclosed. Such UAV airway systems may comprise UAV cargo transportation systems and UAV surveillance and monitoring systems. Such systems preferably overlay and are commensurate with a system of high-voltage power transmission lines of high-voltage transmission system, and electric field actuated (EFA) generators preferably are utilized in UAVs that travel along the transmission lines, in UAV charging stations located along the transmission lines, or in both. Each EFA generator represents a power supply and comprises first and second electrodes separated and electrically insulated from each other for enabling a differential in voltage at the first and second electrodes resulting from a differential in electric field strength experienced by the first and second electrodes arising from the power transmission lines of the high-voltage transmission system. 121-. (canceled)22. A UAV airways system , comprising:(a) a plurality of UAVs traveling along high-voltage power transmission lines within corridors, with one or more UAVs traveling in a first direction within one of said corridors and with one or more other UAVs traveling in a second direction opposite to the first direction within another of said corridors; (i) a plurality of separated electrodes;', '(ii) electrical components electrically connected with the plurality of electrodes, at least one or more of the electrical components being configurable to establish each of a plurality of different electric circuits, each of the different electric circuits comprising a set of two or more mutually exclusive subsets of the plurality of electrodes, the electrodes in each subset that have more than one electrode being electrically connected with each other for avoiding a voltage differential therebetween, and the one or more electrodes of each subset being electrically insulated from each electrode of any other subset of the set for enabling one or more voltage differentials between the ...

LOAD FORECASTING

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load forecast by predicting load measurements at future time points, wherein a load measurement at a time point characterizes a cumulative measure of energy consumption by a population of energy consuming devices at the time point. In one aspect, a method comprises: generating an input load array that includes a respective load value for each of a plurality of time points, wherein: for a plurality of previous time points, the input load array includes load values for the previous time points that define load measurements at the previous time points; and for a plurality of future time points, the input load array includes load values for the future time points that are masked values; and processing the input load array using a load forecasting model to unmask the masked values corresponding to the future time points, comprising generating an output that defines, for the plurality of future time points, predicted load measurements at the future time points. 1. A method performed by one or more data processing apparatus for predicting load measurements at future time points , wherein a load measurement at a time point characterizes a cumulative measure of energy consumption by a population of energy consuming devices at the time point , the method comprising:{'claim-text': ['for a plurality of previous time points, the input load array includes load values for the previous time points that define load measurements at the previous time points; and', 'for a plurality of future time points, the input load array includes load values for the future time points that are masked values; and'], '#text': 'generating an input load array that includes a respective load value for each of a plurality of time points, wherein:'}processing the input load array using a load forecasting model to unmask the masked values corresponding to the future time points, comprising ...

CAPACITY DESIGN METHOD AND APPARATUS FOR PERFORMING SOLAR POWER GENERATION OF RESIDENTIAL COMPLEX

Provided is a capacity design method and apparatus for performing solar power generation of a residential complex that may calculate a capacity of a solar power generator and an energy storage device to achieve energy independence of a residential complex including a plurality of housings and reduce burden affecting a grid. 1. A capacity design method comprising:receiving load profiles of a housing from at least one housing among a plurality of housings constituting a residential complex;determining a power profile that includes a consumption amount and a production amount of the residential complex using a load profile of the residential complex according to the load profiles of the housing;determining a reduction standard according to a solar power generation amount in the residential complex from the power profile of the residential complex; anddetermining a capacity of each energy storage device connected to the at least one housing based on the reduction standard of the residential complex.2. The capacity design method of claim 1 , wherein the determining of the power profile comprises generating the load profile of the residential complex by extracting a time zone in which power in the housing is consumed from each of the load profiles of the housing and by synchronizing the load profiles of the housing by the extracted time zone.3. The capacity design method of claim 1 , wherein the determining of the power profile comprises:determining a solar power generation amount annually generated in the residential complex from the load profile of the residential complex;generating a production profile corresponding to the determined solar power generation amount; anddetermining the power profile that includes the consumption amount and the production amount of the residential complex by time zone using the production profile and the load profile of the residential complex.4. The capacity design method of claim 3 , wherein the determining of the solar power generation ...

COLLABORATIVE SERVICE PROVISIONING OF DISTRIBUTED ENERGY RESOURCES

A system and method to join distributed energy resources (DER) to achieve common objectives is provided. The present technology organizes and/or aggregates DERs by routing a (DER) program request for resources to DER contributors capable of responding to and performing the request using a routing system. The system accesses a plurality of DER profiles, each profile associated with a DER contributor capable of contributing a resource to the request, and calculates an initial value for each DER profile based on request attributes and scoring metrics associated with the profile. The system then calculates a fitness metric for each DER profile based on the initial value using a neural network having weights based on the plurality of performance indicators and selects the DER profile and contributors to whom to route the request. 1. A computer implemented method comprising: accessing a plurality of DER profiles, each profile associated with a DER contributor capable of contributing a resource to the request, and including a plurality of attribute scoring metrics and a plurality of performance indicators of the DER contributor;', 'calculating an initial value for each DER profile based on the at least one normalized request attribute and the plurality of scoring metrics;', 'calculating a fitness metric for each DER profile based on the initial value using a neural network having weights based on the plurality of performance indicators;', 'selecting one or more DER profiles based on a stochastic model using the fitness metric; and', 'routing the DER program request to one or more DER contributors associated with the selected one or more DER profiles., 'receiving a Distributed Energy Resource (DER) program request for resources, the request including at least one normalized request attribute;'}2. The method of claim 1 , further comprising the updating of at least one of the pluralities of scoring metrics of the selected DER profile based on whether a response to the DER ...

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.

Situational Awareness / Situational Intelligence System and Method for Analyzing, Monitoring, Predicting and Controlling Electric Power Systems

A system and method for modeling, controlling and analyzing electrical grids for use by control room operators and automatic control provides a multi-dimensional, multi-layer cellular computational network (CCN) comprising an information layer; a knowledge layer; a decision-making layer; and an action layer; wherein each said layer of said CCN represents one of a variable in an electric power system. Situational awareness/situational intelligence is provided therefrom so that the operators and grid control systems can make the correct decision and take informed actions under difficult circumstances to maintain a high degree of grid integrity and reliability by analyzing multiple variables within a volume of time and space to provide an understanding of their meaning and predict their states in the near future where these multiple variables can have different timescales.

System And Method To Minimize Grid Spinning Reserve Losses By Pre-Emptively Sequencing Power Generation Equipment To Offset Solar Generation Capacity Based On Geospatial Regional Solar And Cloud Conditions

A system and method to preemptively adjust power generation of one or more non-solar power generators based on near term solar generation capability, spinning reserve margin, and/or power grid spinning reserve forecast requirements to offset solar power generation based on geospatial regional solar conditions.

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.

DEMAND MANAGEMENT CONTROL METHOD AND APPARATUS FOR INDUCING DYNAMIC PARTICIPATION OF CONSUMERS IN ENERGY CONSUMPTION LOADS MANAGEMENT PROGRAM

Disclosed are a demand management control method and a demand management control apparatus for inducing dynamic participation of a consumer in an energy consumption load management program. The demand management control method refers to a promotion method for expanding an active participation of a consumer through a dynamic order of charging power of a charging load device with respect to a load having a consumption characteristic in an energy accumulation form in a distribution network management area in which an energy charging supply device is installed, and distributes and manages a demand within an energy supply goal of the consumer through a participation promotion. Also, the demand management control method provides changed cost information to the consumer using an incentive through a demand management contribution weight according to an energy demand and supply status and encourages or promotes the dynamic participation of the consumer. 1. A demand management control method comprising:receiving, from a user, a charging order sheet for supplying power to a charging load device that is plugged into an energy charging supply device in a distribution network management area;determining a charging allowance period of the charging load device that is plugged into the energy charging supply device based on the charging order sheet;providing a participation promotion in which a demand management contribution weight of the charging load device for an operation of the energy charging supply device according to the charging allowance period of the charging load device is applied; andin response to receiving a participation order for the participation promotion from the user, controlling charging in a peak time according to a charging schedule of the charging load device and controlling a peak demand of the energy charging supply device.2. The demand management control method of claim 1 , wherein the receiving of the charging order sheet comprises:monitoring or predict ...

OPTIMAL SPARSE PLACEMENT OF PHASOR MEASUREMENT UNITS AND STATE ESTIMATION OF KEY BUSES IN DISTRIBUTION NETWORKS

A method for state estimation of a distribution network comprises: (a) obtaining measurements from phasor measurement units (PMUs) placed at buses in the distribution network; (b) constructing a quotient gradient system (QGS) based on a constraint set H that relates the measurements to state variables of the distribution network; (c) integrating the QGS to reach a steady state; (d) identifying one or more of the state variables whose measurement residuals violate a measurement residual constraint in the constraint set H; (e) integrating a reconstructed QGS, which is reconstructed based on the constraint set H by setting the identified one or more state variables to values of corresponding PMU measurements; (f) iterating steps of (d) and (e) until no measurement residuals violate the measurement residual constraint, to thereby obtain the state estimation; and (g) reporting the state estimation to a control system during real-time monitoring of the distribution network. 1. A method for state estimation of a distribution network , comprising:(a) obtaining measurements from a plurality of phasor measurement units (PMUs) placed at a plurality of buses in the distribution network;(b) constructing a quotient gradient system (QGS) based on a constraint set H that relates the measurements to state variables of the distribution network;(c) integrating the QGS to reach a steady state;(d) identifying one or more of the state variables whose measurement residuals violate a measurement residual constraint in the constraint set H;(e) integrating a reconstructed QGS, which is reconstructed based on the constraint set H by setting the identified one or more state variables to values of corresponding PMU measurements;(f) iterating steps of (d) and (e) until no measurement residuals violate the measurement residual constraint, to thereby obtain a solution for the state variables as the state estimation; and(g) reporting the state estimation to a control system during real-time ...

SYSTEM OPERATION SUPPORT DEVICE AND METHOD IN POWER SYSTEM, AND WIDE-AREA MONITORING PROTECTION CONTROL SYSTEM

A system operation support device in a power system stabilizes the power system and has a predicted accident time system state calculation unit that receives measured data, a system topology, and a target accident type as inputs, and calculates a system state and a predicted accident time system state. A control menu calculation unit receives the results of the predicted accident time system state as inputs and calculates a control menu. A restoration control means calculation unit receives the result of the control menu calculation as an input and calculates a restoration control procedure. A restoration prevention control procedure calculation unit receives the result of the restoration control and a target restoration time parameter as inputs and performs a power generator output adjustment time simulation, a necessary prevention control amount calculation, and a prevention control procedure calculation. A display unit displays the restoration control procedure and the prevention control procedure. 1. A system operation support device that stabilizes a power system , the system operation support device comprising:a predicted accident time system state calculation unit that receives measured data, a system topology and a target accident type as inputs and calculates a system state and a predicted accident time system state;a control menu calculation unit that receives a result of the predicted accident time system state calculation unit as an input and calculates a control menu;a restoration control method calculation unit that receives a result of the control menu calculation unit as an input and calculates a restoration control procedure;a restoration prevention control procedure calculation unit that receives a result of the restoration control method calculation unit and a target restoration time parameter as inputs and performs a power generator output adjustment time simulation, a necessary prevention control amount calculation, and a prevention control ...

Systems and methods for minimizing energy costs for a power consumption system that has access to off-grid resources

A method includes: calculating a load prediction arising from an power consumption entity over a prospective time period; calculating a predicted off-grid power supply from an off-grid power supply; minimizing, for a respective time interval, a calculated amount of electrical-power to import from a power grid, in accordance with output from a cost function; and, for at least one interval, importing, from the power grid, the corresponding calculated amount of electrical-power corresponding to the at least one interval. The cost function uses: (i) a multi-component time of use tariff schedule associated with the power grid that includes a first power rate during a prospective time period and second power rate during a second time period, (ii) the load prediction over the prospective time period, (iii) the predicted off-grid electrical-power supply over the prospective time period, (iv) a state of a rechargeable battery.

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.

ENERGY DISPATCH SYSTEM, APPARATUS, AND METHOD

An energy dispatch system, apparatus, and method are disclosed. The energy dispatch system includes a server and multiple site controllers respectively corresponding to multiple users. Each user corresponds to an energy storage device, and each energy storage device has a stage of charge. The server determines a scheduled power consumption target of each scheduling period for each user according to a total support power, multiple power consumption references of the users, and the stages of charge. The server transmits each scheduled power consumption target corresponding to a first scheduling period of the scheduling periods to the corresponding site controller. Each site controller controls the corresponding energy storage device to charge or discharge according to the corresponding actual load and the corresponding state of charge in the first scheduling period so that the power consumption of the corresponding user during the first scheduling period meets the corresponding scheduled power consumption target. 1. An energy dispatch apparatus , comprising:a storage, storing a power consumption reference of each of a plurality of users, wherein each of the users corresponds to a site controller, and each of the users corresponds to an energy storage device;a communication interface, being configured to receive a first state of charge of each of the energy storage devices at a first time point from the corresponding site controller;a processor, being electrically connected to the storage and the communication interface and configured to determine a scheduled power consumption target of each of a plurality of scheduling periods for each of the users according to a total support power, the power consumption references, and the first stages of charge;wherein the communication interface transmits each of the scheduled power consumption targets corresponding to a first scheduling period of the scheduling periods to the corresponding site controller;wherein each of the site ...

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.

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.

System, method, and interface for goal-allocation of resources and dynamic monitoring of progress

System, method, and interface for visualized resource allocation and algorithms for the reallocation of resources to achieve a goal. The system analyses an initial state of resource allocation, a cost function for undesirable resources, and a set of potential incremental improvements, each with an associated cost, and determines a step-wise path of applying the incremental improvements to achieve an ultimate resource-allocation goal in an economically feasible way. Simultaneously, a user interface depicts the state of the allocation at the beginning, at the end, and along the path, allowing an intuitive understanding of how the goal will be achieved.

Hybrid power generation facility and method of controlling same

Disclosed are a hybrid power generation facility and a control method thereof. The hybrid power generation facility includes a gas turbine including a compressor configured to compress air introduced from an outside, a combustor configured to mix the compressed air with fuel and to combust the air and fuel mixture, and a turbine configured to produce power with first combustion gas discharged from the combustor, a GT (gas turbine) generator configured to generate electric power using a driving force generated by the gas turbine, a boiler including a combustion chamber and configured to mix the first combustion gas supplied from the turbine of the gas turbine with air and fuel supplied from the outside, a steam turbine through which steam generated in the combustion chamber passes, a ST (steam turbine) generator configured to generate electric power using a driving force generated by the steam turbine, and an energy storage system configured to be charged based on a decrease rate of power demand of a grid and a maximum decrease rate of power supply from the GT generator and the ST generator.

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.

Automated validation, estimation, and editing processor

An apparatus is provided for performing validation, estimation, and editing (VEE) on a plurality of interval based energy consumption streams. The apparatus includes a VEE processor and a VEE configuration engine. The VEE processor is configured to execute VEE rules on each of the plurality of interval based energy consumption streams within a specified time period to generate and store a corresponding plurality of post VEE readings that are stored in a post VEE readings data stores. The post VEE readings include a plurality of tagged energy consumption data sets that are each associated with a corresponding one of the plurality of interval based energy consumption streams. Each of the plurality of tagged energy consumption data sets has first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited. The VEE configuration engine is configured to read the post VEE readings upon initiation of an event and, for the each of the plurality of tagged energy consumption data sets, is configured to create a plurality of anomalies having a plurality of different durations using only the first groups of contiguous interval values, and is configured to generate a plurality of estimates for the plurality of anomalies by employing a plurality of estimation techniques and, for each of the plurality of different durations, is configured to select one of the plurality of estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the plurality of interval based energy consumption streams.

AUTOMATION TOOL TO CREATE CHRONOLOGICAL AC POWER FLOW CASES FOR LARGE INTERCONNECTED SYSTEMS

A computer-implemented method includes extending simulation results and input data of a DC production cost model (PCM) of a power grid to an initial AC power flow model (PFM) using a generation distribution mapping and load distribution mapping of a related PFM base example associated with the PCM, and automatically producing a chronological series of converged AC PFM solutions associated with a PCM time series by, for each time step of the PCM time series: (i) updating inputs of an AC PFM using (a) PCM results of the current time step and (b) solution outputs of a converged AC PFM obtained from a previous PCM time step, and (ii) iteratively, reducing nodal loads by a gradual amount configured to account for power grid power flow losses unaccounted for by the PCM and performing AC PFM numerical analyses, until: (a) an AC PFM convergence is obtained and (b) a real power generation slack bus is less than or equal to a predefined tolerance in relation to a slack bus of the PCM results of the current time step.

Message-based demand response systems and methods

A machine learning method automates the generation of demand response messages to homeowners for utilities. Electric meter data is used to determine a confidence level that the house is occupied so that demand response messages are not sent to unoccupied houses. Demand response messages are associated with a profile. For an initial deployment of a demand response program, a variety of message profiles are tested to study the effectiveness of the communication. After each demand response event, the profile of each message sent to each user is evaluated to learn more effective approaches for future messages. Over time, the learning of the effectiveness of the message profile provides a more precise and complete behavioral model of the user to assess how to motivate energy savings. Continually updating the behavioral model of the user responses to demand response messages increases the likelihood to engage users to participate in demand response events.

Transaction-enabled systems and methods for smart contracts

An example transaction-enabled system may include a smart contract wrapper to access a distributed ledger comprising intellectual property (IP) licensing terms corresponding to IP assets, wherein the IP licensing terms include an apportionment of royalties among owning entities in the distributed ledger. The smart contract wrapper may interpret an IP description value and an IP addition request, and, in response to the IP addition request and the IP description value, to add the apportionment of royalties corresponding to the IP description value. At least one of the plurality of IP assets comprises an instruction set and an operation on the distributed ledger provides provable access to the instruction set. A royalty apportionment wrapper apportions royalties from at least one royalty generating element to owning entities in response to the IP licensing terms.

SYSTEMS AND TECHNIQUES FOR POWER MANAGEMENT

A power controller may monitor a power required by each of a plurality of power loads coupled to a power distribution bus. The power loads can include a plurality of devices for oil and gas exploration or production. The devices can include a plurality of drilling rigs or equipment associated with one or more of the drilling rigs. The power controller may monitor the power supplied by each of a plurality of power sources coupled to the power distribution bus. The power sources can include power from any two or more of the following: an electric utility, an electric grid, a natural gas turbine, a battery, a solar power generator, a wind generator, and a geothermal generator. The power controller may adjust the power supplied to a first one of the plurality of power loads based at least in part on a first one of the plurality of power loads. 1. A system for electrical power generation and control , the system comprising:a controller comprising a processor; receiving information regarding current electrical power requirements for a drilling rig based at least in part on oil field operations;', 'receiving information regarding projected electrical power requirements for the drilling rig based at least in part on the oil field operations;', 'determining a current power generation capacity for an electrical power source; and', 'determining one or more actions based on a plurality of factors to optimize power generation and load requirements for the drilling rig., 'a memory coupled to the processor, wherein the memory comprises a plurality of instructions executable by the processor to perform operations comprising2. The system of claim 1 , wherein the one or more actions delay one or more oil field operations that cause a spike in the current power requirements.3. The system of claim 1 , wherein the one or more actions reduce a power requirement of an electrical power driven system until a generator is activated or a power storage device is charged above a threshold power ...

Facility Smart Energy Management

A system of modules which evaluate, control and measure energy usage and signatures at a building that are in communication with software executing on a computer controlled by a third-party. Software executes on the computer to compare energy usage and signatures of equipment at the facility with information in a database accessible by the computer and is adapted to adjust a Building Management System to modify the operation of at least one piece of equipment at the facility based on the comparison third-party. The database including information and filters for dynamic system adaptation to changing environmental factors. 1. A method of managing a third-party's energy usage for a facility first-party third-party third-party second-party third-party with a computer having software executing thereon and a storage and coupled to a network comprising the steps of:the computer receiving a first energy usage for the facility for a first period of time corresponding to the third-party's past energy usage for the first period of time;the computer receiving a second energy usage for the facility for a second period of time corresponding to the third-party's past energy usage for the second period of time;the software executing on the computer determining a baseline energy usage based on the first and second energy usages, the software executing on the computer applying a discount rate to the baseline energy usage to generate a discounted baseline energy usage, the discount rate based on an expected reduced energy usage for the facility;the software executing on the computer generating an energy bill for a third period of time;issuing the energy bill from a first-party to the third-party for a current billing period prior to an end of the current billing period;wherein the first-party pays a utility bill issued by a second-party for energy usage of the facility during the current billing period;measuring an actual energy usage of a plurality of pieces of equipment at the ...

Electric power demand adjustment program management apparatus and electric power demand adjustment program management method

An electric power demand adjustment program management apparatus, comprises a server which includes: a communication unit that communicates with a plurality of customer terminals that manage customer devices through a communication network; a program unit that creates an electric power demand adjustment program showing a demand adjustment amount allocated to at least one first customer terminal selected from the plurality of customer terminals in each predetermined time segment, based on predetermined constraint conditions and predetermined information received from the plurality of customer terminals; a program executing unit that transmits the electric power demand adjustment program, and instructs the first customer terminal to execute the electric power demand adjustment program; and a providing unit that provides, when the program unit fails to create the electric power demand adjustment program, investigation result information including an investigation result for a cause of the failure.

PLATFORM CONFIGURATION BASED ON AVAILABILITY OF SUSTAINABLE ENERGY

Examples described herein relate to controlling power available to processes and hardware devices to control a monetary cost of utilized electricity and/or amount of energy utilized from non-renewable energy sources. The system can modify operating configurations of processes and/or hardware based on the available power. The system can control total power drawn to control a monetary cost of power and/or avoid drawing power from non-renewable sources (e.g., fossil fuel sources or grid including gas or coal-based energy sources). 1. A non-transitory computer-readable medium comprising instructions stored thereon , that if executed by one or more processors , cause the one or more processors to:control operating configurations of one or more processes and one or more devices based, at least in part, on availability of energy from a renewable energy source.2. The computer-readable medium of claim 1 , wherein to control operating configurations of one or more processes and one or more devices based claim 1 , at least in part claim 1 , on availability of energy from a renewable energy source is to reduce utilization of power from a fossil fuel source.3. The computer-readable medium of claim 1 , wherein control operating configurations of one or more processes and one or more devices comprises one or more of: adjust processor frequency claim 1 , adjust supplied voltage claim 1 , adjust memory utilization claim 1 , adjust input/output (I/O) utilization claim 1 , scheduling execution of a process claim 1 , defer execution of a workload claim 1 , kernel calls claim 1 , scheduling of a process on a core claim 1 , or memory swapping.4. The computer-readable medium of claim 1 , wherein the one or more processes comprise one or more of: operating system (OS) claim 1 , hypervisor claim 1 , applications claim 1 , virtual machines (VMs) claim 1 , containers claim 1 , microservices claim 1 , or functions.5. The computer-readable medium of claim 1 , wherein the one or more devices ...

METHOD AND SYSTEM FOR USING SECOND LIFE BATTERIES AS ENERGY STORAGE IN A RENEWABLE ENERGY SYSTEM

A novel renewable energy system is disclosed. The renewable energy system combines second life electric vehicle batteries to form an energy storage system. The energy storage system may compensate for large variations in operational energy and power requirements. The energy storage system is enabled through reuse of unopened electric vehicle batteries after their end first life use (e.g., in automotive use). The energy storage system within the renewable storage system may include a plurality of second life electric vehicle batteries, which may be configured to controllably store and provide power for a variety of applications. In some embodiments, the energy storage system may be operably coupled to one or more photovoltaics, fast chargers, or other variable loads that operate on DC currents. In various embodiments, the renewable energy system containing the energy storage system may require only one bidirectional inverter, which may be connected to a grid. 1. A method for reusing an unopened electric vehicle battery within a renewable energy system , the method comprising:receiving, by a central controller within an energy storage system, a signal from a control unit coupled to an electric vehicle battery;determining, by the central controller, a status of the electric vehicle battery based on the received signal;receiving, by the central controller, a current load demand associated with the energy storage system;allocating, by the central controller, the electric vehicle battery to a load application based on the current load demand and the determined electric vehicle battery status;wherein the electric vehicle battery is allocated to the load application if the electric vehicle status satisfies a threshold state of charge; andswitching, by the central controller, the electric vehicle battery from a first operational mode to a second operational mode.2. The method of claim 1 , wherein switching the electric vehicle battery from the first operational mode to the ...

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.

Systems and methods for system measurements integrity determination

Systems and methods of the present disclosure are directed to determining the integrity of system measurements. The system and methods of the present disclosure can detect corrupted process measurement signals that can originate in instrumentation used with electricity distribution and transmission systems. These process measurement signals may be delivered by digital communications networks.

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.

Systems and methods for system measurements integrity determination

Systems and methods of the present disclosure are directed to determining the integrity of system measurements. The system and methods of the present disclosure can detect corrupted process measurement signals that can originate in instrumentation used with electricity distribution and transmission systems. These process measurement signals may be delivered by digital communications networks.

Transaction-enabled systems and methods with licensing smart wrappers and ip aggregation

Transaction-enabled systems and methods with licensing smart wrappers and IP aggregation are disclosed. An example transaction-enabling system may include a smart wrapper structured to aggregate intellectual property (IP) assets into an aggregate stack of IP; and a smart contract wrapper configured to: access a distributed ledger comprising a plurality of intellectual property (IP) licensing terms corresponding to the aggregated IP; interpret an IP description value and an IP addition request; and in response to the IP addition request and the IP description value, add an IP asset to the aggregate stack of IP and commit a party to at least one of the plurality of IP licensing terms.

PHOTOVOLTAIC WATER HEATING CONTROL SYSTEM AND PROCESS

This invention provides a system and process to optimize photovoltaic (PV), grid, and other electricity in powering an electric water heater. The system comprises a photovoltaic (PV) controller coupled to a plurality of power input sources and heating elements wherein the heating elements immersed in an electric immersion heater water tank. The PV controller is further configured with control circuitry having an operating efficiency routine calculating optimal use cases from a variety of installation parameters and learned parameters to determine the appropriate power input source and switch between sources accordingly. 1. A photovoltaic water heating control system comprising:a photovoltaic power input coupled to a photovoltaic inverter;a grid power input;at least a first electrical heating element electrically coupled to a first thermostat forming a first heating element circuit, the at least first electrical heating element and first thermostat immersed in a water tank wherein the first thermostat opens the first heating element circuit above a predetermined water temperature threshold and closes the first heating element circuit below the predetermined water temperature threshold;a photovoltaic controller having control circuitry comprising a processing unit, memory, a means for external communication, and software comprising operating efficiency routines;the photovoltaic inverter and the grid power input coupled to the control circuitry wherein the photovoltaic inverter and the grid power input are isolated through a power input switch controlled by the operating efficiency routines;the first heating element circuit coupled to a current sensor and the control circuitry; andwherein the control circuitry determines if a water temperature is above or below the predetermined water temperature threshold by polling the current sensor to detect whether the first heating element circuit is open or closed.2. The photovoltaic water heating control system of further ...

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. 1. A method for individualized forecast of customer load in presence of dynamic pricing signals comprising:recording the customer's participation history in different demand response events at each customer locations;segmenting the demand response specific data in a plurality of related time series;building a self-calibrated model for each customer using the time series;taking feedback from the time series to predict the changes in customer load profile;forecasting load usage and load shed as well as error distribution associated with forecast using machine learning and data mining techniques.2. The method of wherein the demand response event specific data includes demand response resources data claim 1 , its type claim 1 , its locations claim 1 , characteristics such as response time claim 1 , ramp time claim 1 , utility meter data claim 1 , user specific data claim 1 , time series data claim 1 , seasonality data claim 1 , price index data claim 1 , notification time requirement claim 1 , number of events in a particular period of time and number of consecutive event claim 1 , user preference to participate in the event claim 1 , price index and other regression based data.3. The method of wherein demand response specific data is segmented on the basis of seasonality claim 1 , time of occurrence claim 1 , price index claim 1 , temperature and other regression parameters.4. The method of wherein the segmenting techniques used for segmenting the demand ...

METHODS AND SYSTEM FOR GENERATING AT LEAST ONE UTILITY FINGERPRINT ASSOCIATED WITH AT LEAST ONE PREMISES

A system for generating at least one utility fingerprint associated with at least one premises is provided. The system includes a communication device, a processing device and a storage device. The communication device is configured for receiving utility consumption information from at least one utility consumption information source, receiving premises information from at least one premises information source, receiving lifestyle information from at least one lifestyle information source and transmitting at least one utility fingerprint to an electronic device. The processing device is configured for analyzing each of the utility consumption information, the premises information and the lifestyle information and generating the at least one utility fingerprint associated with the at least one premises based on the analyzing. The storage device is configured for storing each of the utility consumption information, the premises information, the lifestyle information and the at least one utility fingerprint. 1. A system for generating at least one utility fingerprint associated with at least one premises , the system comprising:a communication device configured for:receiving at least one utility consumption information from at least one utility consumption information source, wherein the at least one utility consumption information is associated with consumption of at least one utility corresponding to the at least one premises;receiving at least one premises information from at least one premises information source, wherein the at least one premises information is associated with the at least one premises;receiving at least one lifestyle information from at least one lifestyle information source, wherein the at least one lifestyle information is associated with at least one occupant of the at least one premises; andtransmitting at least one utility fingerprint associated with the at least one premises to at least one electronic device; analyzing each of the at least ...

Transaction-enabled systems and methods for identifying and acquiring machine resources on a forward resource market

Transaction-enabled systems and methods for identifying and acquiring machine resources on a forward resource market are disclosed. An example system may include a controller having a resource requirement circuit to determine an amount of a resource required for a machine to service a task requirement, a forward resource market circuit to access a forward resource market, a resource market circuit to access a resource market, and a resource distribution circuit to execute a transaction of the resource on at least one of the resource market or the forward resource market in response to the determined amount of the resource required.

SYSTEMS AND METHODS FOR ASSESSING RELIABILITY OF ELECTRICAL POWER TRANSMISSION SYSTEMS

Systems and methods for assessing reliability of electrical power transmission systems are provided. Embodiments disclosed herein use Outage Impact Index (OII), a new reliability indicator, to identify periodic (e.g., annual) system risks in transmission systems of a bulk power system (BPS) for a given voltage class. OII provides key performance indices which can be used by power utilities to quantify and assess transmission system performance, establish baselines from chronological trends, and minimize system risks by developing corrective measures to address any identified system issues. 1. A method for assessing reliability of an electrical power transmission system , the method comprising:obtaining information about a number of outages in a specific outage category and power system voltage level during an assessment period;obtaining information about an outage duration associated with each of the number of outages during the assessment period; anddetermining outage impact for the assessment period as a function of the number of outages and the outage duration for the specific outage category and power system voltage level independent of total outages and total outage duration for the electrical power transmission system.2. The method of claim 1 , wherein the outage impact is further a function of the number of outages over a number of power system assets.3. The method of claim 1 , wherein the outage impact is further a function of the outage duration over the assessment period.5. The method of claim 4 , wherein the outage impact index provides a measure of equipment health in the electrical power transmission system.6. The method of claim 4 , wherein the assessment period comprises at least one year.7. The method of claim 1 , wherein each of the number of outages represents a failure of one or more power system assets in the electrical power transmission system.8. The method of claim 7 , wherein the failure of the one or more power system assets is considered an ...

METHOD FOR SUPERVISORY CONTROL OF BUILDING POWER CONSUMPTION

A method for controlling power consumption includes receiving a flexibility request from an electrical utility and discovering energy relevant devices in a building. The energy relevant devices include electrical loads and alternative energy sources. Power requirements are predicted from an electrical utility for the loads, the prediction takes into account available power from the alternative power sources. Power set points are determined for the energy relevant devices based on the prediction. The power set points meet the flexibility request. The energy relevant devices are directed to operate at the power set points. A building energy management system is also disclosed. 1. A method for controlling power consumption , comprising:receiving a flexibility request from an electrical utility;discovering energy relevant devices in a building, the energy relevant devices including electrical loads and alternative energy sources;predicting a power requirement from an electrical utility for the loads, the prediction taking into account available power from the alternative power sources;determining power set points for the energy relevant devices based on the prediction, the power set points meeting the flexibility request; anddirecting the energy relevant devices to operate at the power set points.2. The method of claim 1 , further comprising extracting data from the energy relevant devices claim 1 , and wherein the predicting is based on the data.3. The method of claim 2 , further comprising extracting models for energy consumption or generation from the energy relevant devices claim 2 , and wherein the predicting is based on the models.4. The method of claim 2 , further comprising generating models for energy consumption or generation for the energy relevant devices claim 2 , and wherein the predicting is based on the models.5. The method of claim 1 , further comprising optimizing the power set points for the energy relevant devices.6. The method of claim 5 , wherein ...

SYSTEMS AND METHODS FOR GRID APPLIANCES

Embodiments of systems and methods for power demand management are described herein. More specifically, embodiments comprise systems and methods for powering, controlling, and/or operating various types of controllable load for integration with power fluctuations from intermittent power generation plants, such as photovoltaic arrays and wind turbine farms. 1. A system for controlling the load in systems with intermittent generation assets , comprising:a renewable energy system;a connection to grid power;an inverter electrically coupled to the renewable energy system and the connection to grid power;a large-scale equipment system; anda motor controller electrically coupled to the inverter that controls the large-scale equipment system in response to demand data representative of the demand of the large-scale equipment system, and inverter data representative of operation of the inverter.2. The system of claim 1 , further comprising an auxiliary chiller.3. The system of claim 2 , further comprising a thermal energy storage system in fluid communication with the auxiliary chiller.4. The system of claim 3 , wherein the auxiliary chiller may feed the large-scale equipment system and/or the thermal energy storage system in response to the demand data.5. The system of claim 1 , wherein the motor controller receives data from the inverter via a communication link.6. The system of claim 5 , wherein the data comprises information related to a variation in output power.7. The system of claim 6 , wherein the grid power can be used to balance the needed power of the large-scale equipment system and the power supplied by the renewable energy system.8. The system of claim 1 , wherein the renewable energy system includes a photovoltaic (PV) array.9. The system of claim 1 , wherein the motor controller receives renewable energy data from at least one node of network of geographically distributed locations claim 1 , and wherein the motor controller controls the large-scale equipment ...

METHOD AND APPARATUS FOR TERTIARY CONTROL OF MICROGRIDS WITH INTEGRATED OVER-CURRENT PROTECTION

A method and apparatus for tertiary control with over-current protection. In one embodiment, the method comprises calculating at least one unconstrained optimal net intertie target for an area of a power network; calculating, for each resource within the area, optimal scheduled current to achieve the at least one unconstrained optimal net intertie target; calculating, using the optimal scheduled currents and a plurality of stress coefficients, net scheduled current for each power line segment within the area; comparing the net scheduled currents to corresponding stress thresholds to identify any stress violations; reducing, when the comparing step identifies one or more stress violations, the optimal scheduled current for one or more resources contributing to the one or more stress violations; and calculating, when the comparing step identifies the one or more stress violations, updated optimal scheduled current for one or more resources not contributing to the one or more stress violations. 1. A method for tertiary control with over-current protection , comprising:calculating at least one unconstrained optimal net intertie target for an area of a power distribution network;calculating, for each resource of a plurality of resources within the area, optimal scheduled current to achieve the at least one unconstrained optimal net intertie target;calculating, using the optimal scheduled currents and a plurality of stress coefficients, net scheduled current for each power line segment within the area;comparing the net scheduled currents to corresponding stress thresholds to identify any stress violations;reducing, when the comparing step identifies one or more stress violations, the optimal scheduled current for one or more resources, of the plurality of resources, contributing to the one or more stress violations; andcalculating, when the comparing step identifies the one or more stress violations, updated optimal scheduled current for one or more resources, of the ...

Systems and methods for energy-related load optimization

Provided are energy device control systems for distributed grid subsystem that control a first power demand of a plurality of appliances. The control system comprises a graphical user interface configured to accept a user input indicative of a first demand and dynamic allocation flexibility associated with the a respective energy device; a communication interface configured to aggregate dynamic allocation values from a plurality of system nodes including at least the user input indicative of a first demand and the dynamic allocation flexibility; and at least one processor programmed to: generate a learning model for evaluating dynamic future allocation with future energy execution prediction, wherein the dynamic future allocation includes at least energy operational information based on a categorization of energy usage at a plurality of respective energy devices; and trigger energy generation on the energy grid at respective generator nodes according to the learning model and dynamic projections.

MANAGING ELECTRIC VEHICLE LOADS ON AN ELECTRIC GRID

Systems and methods for performing actions in response to charging events, such as charging events associated with a specific electric vehicle and/or a specific charging station, are described. In some embodiments, the systems and methods may receive a request from an electric vehicle to identify a charging station from which to charge a battery of the electric vehicle, provide information associated with the electric vehicle to one or more charging stations proximate to the electric vehicle, receive from the one or more charging stations information identifying parameters associated with potential charging events provided by the one or more charging stations, and provide the information identifying the parameters associated with potential charging events provided by the one or more charging stations to the electric vehicle. 1. A non-transitory computer-readable medium whose contents , when executed by a computing system , cause the computing system to perform a method of managing a load applied to an electric grid , the method comprising:receiving a grid alert from an electric grid that indicates the electric grid is in a demand condition outside of a threshold demand condition; anddirectly controlling charging operations of a fleet of electric vehicles connected to the electric grid to adjust the demand condition of the electric grid.2. The computer-readable medium of claim 1 , wherein directly controlling charging operations of a fleet of electric vehicles connected to the electric grid to adjust the demand condition of the electric grid includes:pausing charging events for one or more of the electric vehicles to lower the demand condition of the electric grid.3. The computer-readable medium of claim 1 , wherein directly controlling charging operations of a fleet of electric vehicles connected to the electric grid to adjust the demand condition of the electric grid includes:commencing charging events for one or more of the electric vehicles to lower an energy ...

Energy Control and Generation Method and System

A method and system of controlling the time dependent transfer of electrical power between a first electrical network and a second electrical network is disclosed. The first electrical network is operable to provide instantaneous electrical power to the second electrical network located at a location, the second electrical network includes electrical generating capacity at the location based on stored energy accessible at the location. The method and system involves receiving at the second electrical network pricing information from the first electrical network, the pricing information associated with the future supply of electrical power by the first electrical network to the second electrical network and then modifying substantially in real time the transfer of electrical power between the first and second electrical networks in accordance with the pricing information and the electricity demand characteristics of the location.