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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 15. Отображено 15.
14-07-2023 дата публикации

Power distribution network topology identification method based on improved graph theory

Номер: CN116435986A
Автор: LONG YUN, LIANG XUEQING, LU YOUFEI, WU RENBO, ZHANG YANG, LIU LUHAO, ZHAO HONGWEI, CHEN MINGHUI, ZHANG SHAOFAN, ZOU SHIRONG, CAI YANCHUN, LIU XUAN, LU XIAOQING, YANG TAO
Принадлежит:

The invention discloses a power distribution network topology identification method based on an improved graph theory. The method comprises the steps of performing node voltage measurement on a power distribution network to obtain a voltage amplitude set, calculating a covariance matrix based on the principle of a graph theory according to the voltage amplitude set and an injection power set, calculating and constructing an estimation precision matrix, and constructing an estimation adjacency matrix. And estimating a graph index formed by the characteristic values of the adjacent matrixes to obtain a topological graph of the power distribution network to be identified. Compared with the prior art, the topology of the power distribution network can be accurately identified.

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Номер записи: 1
23-06-2023 дата публикации

Automatic data acquisition device for power grid dispatching

Номер: CN116281411A
Автор: LU YOUFEI, FENG GUOPING, LIANG XUEQING, DU SHUMING, ZHOU DEXI, ZHAO XIAOFAN, LIU CHAO, LI MINGJIU
Принадлежит:

The invention belongs to the technical field of power grid dispatching automation data, and particularly relates to a power grid dispatching automation data acquisition device which comprises a body, a plurality of connecting lines are fixedly connected to one side of the body, a bottom plate is fixedly connected to one end of the bottom of the body, and a plurality of mounting frames are uniformly and fixedly connected to one end of the top of the bottom plate. And the multiple mounting frames and the multiple connecting line interfaces are arranged in a one-to-one correspondence mode, the inner sides of the multiple mounting frames are rotationally connected with take-up wheels used for winding the connecting lines, and one sides of the multiple mounting frames are provided with take-up mechanisms capable of synchronously completing winding of the connecting lines of different lengths. By arranging the take-up mechanism, connecting wires of the power grid dispatching automation data acquisition ...

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Номер записи: 2
13-06-2023 дата публикации

Novel power system short-circuit current online prediction method based on GA-BP neural network

Номер: CN116258265A
Автор: LONG YUN, LIU LUHAO, LIANG XUEQING, LU YOUFEI, ZHAO HONGWEI, WU RENBO, CHEN MINGHUI, ZHANG SHAOFAN, LIU CHAO, WANG LIYE, YAOWU JIAPIN, LIN ZEXUAN, WANG HAIYANG
Принадлежит:

The invention discloses a novel power system short-circuit current online prediction method based on a GA-BP neural network, and the method comprises the following steps: S1, analyzing the fault output characteristics of a new energy power supply under different control strategies, and determining the output characteristics of the new energy power supply according to the control strategies of the new energy power supply; s2, establishing a novel power system simulation model, setting different fault conditions to generate fault sample data, extracting operation state data of a power system before a fault and short-circuit current data of a line after the fault, performing normalization processing on the data, and generating training data and label data; s3, constructing a BP neural network, optimizing an initial weight and a threshold value of the BP neural network by using a genetic algorithm, and performing iterative training on the BP neural network by using the training data and the ...

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Номер записи: 3
26-05-2023 дата публикации

Power system risk assessment method based on neural network model

Номер: CN116167609A
Автор: LONG YUN, ZHANG SHAOFAN, LIU LUHAO, LIANG XUEQING, LU YOUFEI, ZHAO HONGWEI, WU RENBO, CHEN MINGHUI, LIU CHAO, WANG LIYE, LIU JUN, LIU XIAOMING, ZHAO YU, PENG XIN
Принадлежит:

The invention discloses an electric power system risk assessment method based on a neural network model, and the method comprises the following steps: S1, obtaining historical meteorological data and historical operation data of an electric power system, obtaining fault probabilities of different meteorological conditions according to the historical meteorological data and the historical operation data, and forming a vulnerable curve; s2, constructing a neural network model, and training the model by using historical meteorological data and historical operation data according to a vulnerable curve formed by the fault probability to obtain a trained model; s3, inputting the real-time meteorological data and the real-time operation data into the model, and outputting various topological structure sets and fault probabilities under various topological structures by the model; s4, calculating the line power flow under various topological structures, obtaining a risk index of fault severity ...

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Номер записи: 4
02-05-2023 дата публикации

Power grid load data mining method based on improved clustering algorithm

Номер: CN116049251A
Автор: LONG YUN, LU YOUFEI, LIU LUHAO, LIANG XUEQING, CHEN MINGHUI, ZHANG SHAOFAN, ZOU SHIRONG, ZHAO HONGWEI, WU RENBO, ZHANG YANG, CAI YANCHUN, LIU XUAN
Принадлежит:

The invention discloses a power grid load data mining method based on an improved clustering algorithm, and the method comprises the steps: carrying out the chromosome coding of to-be-mined load historical data, and obtaining chromosome form data; dividing an initial population of chromosome form data; according to a standard differential evolution algorithm, operating the initial population, and outputting an optimal clustering center; based on the clustering center, according to a clustering algorithm, carrying out clustering calculation on historical load data to be mined, and outputting a clustering result; and mining load data of the to-be-predicted period according to a clustering result. The dynamic adaptive cross algorithm design adopted by the invention effectively absorbs the excellent global search capability of the genetic algorithm, overcomes the difficulty that a pure K-means clustering algorithm is easy to fall into local optimum, and improves the convergence speed of the ...

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Номер записи: 5
23-06-2023 дата публикации

Novel electric energy information interaction system based on holographic perception and edge calculation

Номер: CN116307784A
Автор: LU YOUFEI, ZOU SHIRONG, LU HONGZHI, LIANG XUEQING, WANG JIAYAN, LU HUI, YUAN XINGJIA, LIAO JIAWEI, ZHANG JIAQI, XU LINGHAN
Принадлежит:

The invention relates to the technical field of electric energy information interaction, in particular to a novel electric energy information interaction system based on holographic perception and edge calculation. The system comprises a holographic sensing module, an edge calculation module, a wireless transmission module, a forwarding terminal, a power supply module, a mobile phone terminal, a power consumption analysis module, an electric energy information visualization module, an auxiliary interaction module, a power consumption abnormity inquiry module and a database. Rich user electric quantity data are obtained through the holographic sensing module, preliminary calculation of the electric quantity data is carried out through the edge calculation module, and the data processing pressure of a data center is reduced; when a user doubts the power consumption data, timing feedback can be performed to power grid related workers through the auxiliary interaction module, mutual modes are ...

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Номер записи: 6
23-06-2023 дата публикации

Power cable operation maintenance method based on historical fault information and operation state

Номер: CN116308248A
Автор: LIANG XUEQING, ZOU SHIRONG, ZHAO XIAOFAN, LU HUI, LIU CHAO, LUO ZHIHUI, CHEN HUAN, LIAO JIAWEI, XU ZHUOJIA, SONG JIAJUN
Принадлежит:

The invention relates to the field of power equipment detection, and provides a power cable operation maintenance method based on historical fault information and an operation state, and the method comprises the steps: collecting the state information of a grounding current, and storing the state information of the grounding current to a database of a cloud server; the state information of the grounding current in the database is classified, a classification structure is distributed to a monitoring host and a client, and a control instruction is sent at the client; the client receives the state information of the grounding current, executes instruction operation according to the control instruction, and stores the instruction operation into a database of the cloud server; and the instruction is issued to the monitoring host through a database of the cloud server, so that the front-end control machine passively works, and an instruction execution result fed back by the front-end control ...

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Номер записи: 7
23-06-2023 дата публикации

Preprocessing dynamic modeling system and method based on virtual reality simulation

Номер: CN116305368A
Автор: ZOU SHIRONG, LU YOUFEI, LIANG XUEQING, DU SHUMING, WU HENG, LIU CHAO, LIU LUHAO, WANG DEHUI, ZHOU XINXING, LUO ZHIHUI
Принадлежит:

The invention relates to the technical field of virtual reality, in particular to a preprocessing dynamic modeling system and method based on virtual reality simulation, the system comprises a VR display device, a VR interaction device, a computer, a data storage device and a modeling tool, the data storage device comprises a created image output module, a to-be-output module and a preprocessing module, the operation instruction acquired by the image output area is shared with the to-be-output area and the preprocessing area, so that the to-be-output area and the preprocessing area can perform preprocessing to generate a corresponding virtual building scene, and the virtual building scene is verified by the to-be-output area, so that the virtual building scene can be output. And then fine rendering is performed on the virtual building scene rendering sequence stored in the pre-processing area, so that the rendering speed of the virtual building scene is greatly improved, and the consistency ...

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Номер записи: 8
14-07-2023 дата публикации

Novel power system fault classification method based on sample transfer learning

Номер: CN116432023A
Автор: LONG YUN, LIU LUHAO, LIANG XUEQING, LU YOUFEI, ZHAO HONGWEI, WU RENBO, CHEN MINGHUI, ZHANG SHAOFAN, LIU CHAO, WANG LIYE, LIN ZEXUAN, WANG HAIYANG, YAOWU JIAPIN
Принадлежит:

The invention discloses a novel power system fault classification method based on sample transfer learning, and the method comprises the steps: constructing a doubly-fed fan outgoing line fault simulation model, generating a fault sample of a fault type, and obtaining a data sample and a label; building a deep convolutional neural network model, and pre-training the neural network by using the data sample and the label; the method comprises the steps of building a novel power system model, generating a small amount of fault data of various types, and obtaining new energy training samples and labels; freezing a convolutional layer of the pre-trained deep convolutional neural network model, and retraining a full connection layer in the frozen pre-trained deep convolutional neural network model by using a new energy training sample and a label; and inputting a to-be-identified fault sample into the trained deep convolutional network model to obtain a finally discriminated fault type. According ...

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Номер записи: 9
02-06-2023 дата публикации

User home condition monitoring method and device, computer equipment and storage medium

Номер: CN116204555A
Автор: DU SHUMING, LIANG XUEQING, ZHAO XIAOFAN
Принадлежит:

The invention relates to a user home condition monitoring method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring power utilization information data of different users; according to the power utilization information data, dividing different users into different user groups; performing K-means clustering analysis on all users in each user group according to the power utilization information data to obtain outlier users in each user group; acquiring power consumption data of the outlier users in each meter reading month, and obtaining a mean value of the power consumption data of the outlier users in each meter reading month; and obtaining the standard daily average electricity consumption data of the user according to the average value of each meter reading monthly electricity consumption data. By adopting the method, an accurate user home condition monitoring result can be obtained.

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Номер записи: 10
26-05-2023 дата публикации

Power system risk assessment method considering influence of meteorological conditions

Номер: CN116167477A
Автор: LONG YUN, ZHAO HONGWEI, LU YOUFEI, LIANG XUEQING, LIU LUHAO, ZHANG SHAOFAN, WU RENBO, CHEN MINGHUI, LIU CHAO, WANG LIYE, LIU JUN, LIU XIAOMING, ZHAO YU, PENG XIN
Принадлежит:

The invention discloses a power system risk assessment method considering the influence of meteorological conditions, and the method comprises the following steps: S1, obtaining the historical meteorological data and historical operation data of a power system, and obtaining the fault probability data of the power system under different meteorological conditions according to the historical meteorological data and historical operation data; s2, constructing a meteorological element fault probability model, and predicting the fault probability of the power system through the meteorological element fault probability model according to the real-time meteorological data and the real-time operation data; s3, comparing the predicted fault probability with a threshold value, screening out risk early warning lines to generate topological structures, and calculating fault probabilities under various topological structures; s4, calculating the line power flow under various topological structures, ...

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Номер записи: 11
06-06-2023 дата публикации

Unit combination intelligent decision-making method based on data driving

Номер: CN116227180A
Автор: LONG YUN, LIANG XUEQING, LIU LUHAO, LU YOUFEI, WU RENBO, ZHANG YANG, ZHAO HONGWEI, CHEN MINGHUI, ZHANG SHAOFAN, ZOU SHIRONG, CAI YANCHUN, LIU XUAN, WANG XIYUE, KE DEPING
Принадлежит:

The invention relates to the field of electric power systems and automation research, in particular to a unit combination intelligent decision-making method based on data driving, which comprises the following steps: S1, generating a mapping sample of unit combination historical data based on historical daily load data of an electric power system, and normalizing the historical daily load data of the electric power system; s2, constructing a unit commitment deep learning model based on a long and short term memory network and an attention mechanism; s3, training the unit commitment deep learning model based on the mapping sample of the historical data of the unit commitment; and S4, inputting the daily load data into the unit combination deep learning model, and outputting an expected unit combination start-stop and output scheme. According to the method, the unit commitment deep learning model is constructed based on the long and short term memory network and the attention mechanism, the ...

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Номер записи: 12
30-06-2023 дата публикации

Power distribution network state estimation method under PMU measurement data missing condition

Номер: CN116361617A
Автор: LONG YUN, LIANG XUEQING, LU YOUFEI, WU RENBO, ZHANG YANG, LIU LUHAO, ZHAO HONGWEI, CHEN MINGHUI, ZHANG SHAOFAN, ZOU SHIRONG, CAI YANCHUN, LIU XUAN, LU XIAOQING, YANG TAO
Принадлежит:

The invention discloses a power distribution network state estimation method under PMU measurement data missing, and the method comprises the steps: constructing and training a measurement voltage compensation model, and obtaining an optimized measurement voltage compensation model; the control center receives real-time measured voltage data and judges whether missing voltage data exists in the real-time measured voltage data or not, if yes, the optimized measured voltage compensation model is adopted for compensating the measured voltage data, power distribution network topology identification is carried out based on the compensated measured voltage data after compensation is completed, and if not, the power distribution network topology identification is carried out based on the compensated measured voltage data. If yes, power distribution network topology identification is directly carried out based on the real-time measured voltage data; and estimating the state of the power distribution ...

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Номер записи: 13
09-06-2023 дата публикации

Power system source network load storage combined regulation and control method and device based on deep reinforcement learning

Номер: CN116247742A
Автор: LONG YUN, LIANG XUEQING, LIU LUHAO, LU YOUFEI, WU RENBO, ZHANG YANG, ZHAO HONGWEI, CHEN MINGHUI, ZHANG SHAOFAN, ZOU SHIRONG, CAI YANCHUN, LIU XUAN, WANG XIYUE, KE DEPING
Принадлежит:

The invention discloses a deep reinforcement learning-based power system source-grid-load-storage combined regulation and control method and device, computer equipment and a storage medium, and the method comprises the steps: preliminarily generating a source-load-storage scheduling scheme with economy as a target according to the prediction information of a power system, and enabling the source-load-storage scheduling scheme to serve as the basis of intelligent agent regulation and control; designing a reinforcement learning architecture of source-network-load-storage combined scheduling, and learning to correct a source-load-storage scheduling scheme by taking security as a target through a deep reinforcement learning training agent so as to realize source-network-load-storage combined scheduling; wherein a reward function in the reinforcement learning architecture guides an intelligent agent to reserve enough margin and sufficient reserve for an uncertain scene by defining a line power ...

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Номер записи: 14
27-06-2023 дата публикации

Automatic monitoring device for power grid operation management

Номер: CN116345320A
Автор: LU YOUFEI, FENG GUOPING, DU SHUMING, LIANG XUEQING, ZHOU DEXI, ZHAO XIAOFAN, LI MINGJIU, LIU CHAO
Принадлежит:

The invention discloses an automatic monitoring device for power grid operation management, which comprises a cabinet body, a cabinet door is hinged to one side of the cabinet body, a camera and a turbine fan are mounted on the cabinet door, a hollow frame is mounted in the cabinet body, a light guide structure is mounted at the top end of the inner wall of the cabinet body, and a power supply structure is mounted at the bottom end of the inner wall of the cabinet body. The light guide structure and the power supply structure are both located on one side of the hollowed-out frame, an air inlet is formed in the other side of the cabinet body, and a blocking fire extinguishing structure is installed on one side of the inner wall of the cabinet body and matched with the air inlet; the light guide structure is arranged to introduce light energy into the cabinet body and supply the light energy to the power supply structure, and the power supply structure is independent and supplies power to ...

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Номер записи: 15