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检索条件"机构=Hunan Provincial Key Laboratory of Intelligent Electrical Measurement and Application Technology"

共 113 条记录，以下是41-50 订阅

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Current Secondary Circuit Anomaly Detection Based on ROD Algorithm

Current Secondary Circuit Anomaly Detection Based on ROD Alg...

引用

IEEE International Conference on Power and Energy Systems (ICPES)

作者： Longmin Bu Rendong Zhang Hong Chen Shengwei Yang Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China College of Artificial Intelligence Nanjing Agriculture Uinversity Nanjing China

During the operation of the power grid system, abnormal current often occurs due to equipment failure or improper operation by technicians. Timely detection of abnormal current sections plays a significant role in maintaining the safe operation of the power grid. In view of the low accuracy of current abnormal section detection methods, a robust Rotation based Outlier Detection algorithm that is parameter-free, requires no distribution assumptions is used to detect abnormal current segments. The preprocessed current data are used to train the model. The experimental results show that the method can detect abnormal current segments well.

关键词： Predictive models Prediction algorithms Power grids Data models Integrated circuit modeling Anomaly detection

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A Comprehensive Analysis Method for Optimal Configuration of Smart Meter Data Collector Based on PSO-BP Algorithm 2021

A Comprehensive Analysis Method for Optimal Configuration of...

引用

The 4th International Conference on Information Technologies and electrical Engineering

作者： Minqi Yu Liman Shen Maotao Yang Linjin Xie Xing He Shumin Wei Grid Hunan Electric Power Corporation Limited China and Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology China Grid Hunan Electric Power Corporation Limited China

ISBN: (纸本)9781450386494

Aiming at the current electric power industry's problems related to the unreasonable configuration of smart meter data collectors and the smart meter measurement technology, this paper proposes a comprehensive analysis method for the optimal configuration of smart meter data collectors based on the PSO-BP neural network prediction model. Through the analysis of historical data in the station area, PSO is used to optimize the index. The database is established to import the BP neural network algorithm and training, and then the prediction of the station area to be configured with the data collector is completed. The experimental case proves that the above steps can reasonably configure the collector in the station area and optimize the data collection of the smart meter. While realizing convenient and effective data transmission, it also guarantees a certain degree of economy.

关键词： BP particle swarm optimization Smart meter data collection

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Research on Accurate Audit of Defaulting Power Consumption Based on K-Means Multidimensional Overrun Judgment

Research on Accurate Audit of Defaulting Power Consumption B...

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IEEE International Conference on Software Engineering and Service Sciences (ICSESS)

作者： Yu Xiao Xingwang Yang Hanjun Deng Shuai Yang Zhi Ye Qinghong Guo Kejiang Xiao State Grid Hunan Power Supply Service Center (Metrology Center) Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha Hunan Province China Faculty of Artificial Intelligence in Education Central China Normal University Wuhan Hubei Province China

With the rapid economic growth and the development of science and technology, the power supply is becoming increasingly tight. Some users use electricity in various ways in order to pay less electricity. The sudden increase of load not only increases the pressure of power enterprises to ensure power supply, but also disrupts the normal social order of power supply and consumption, and seriously damages the legitimate rights and interests of power supply enterprises. The traditional method of electricity default investigation has the disadvantages of difficult to check completely and accurately. To solve this problem, this paper based on $\mathbf{K}$ -Means clustering method to cluster analysis of daily frozen electricity data, combined with active power, load current and maximum demand data, to find out the abnormal points of electricity consumption, to form a multidimensional criterion, in order to realize the accurate inspection of the user's defaulted electricity consumption.

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Design of power tester for HPLC power line carrier communication module 2

Design of power tester for HPLC power line carrier communica...

引用

2019 2nd International Symposium on Power Electronics and Control Engineering, ISPECE 2019

作者： Yu, Minqi Tang, Yun Huang, Rui Liu, Mouhai Yang, Maotao Changsha Hunan410000 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha Hunan410000 China

The current equipment used to test the power consumption of power line carrier communication modules not only has low dynamic power consumption, but also fails to meet the accuracy requirements for AC power tests. Based on a careful analysis of the key technologies of the dynamic power test of the communication module, this paper designs a power tester. This paper introduces the working principle of the power tester, discusses the corresponding circuit design scheme from two aspects of DC power consumption and AC power consumption, and analyzes the calculation methods of the two in detail. Finally, the test results of each test system are compared and analyzed. The power tester can achieve higher accuracy data testing. © Published under licence by IOP Publishing Ltd.

关键词： Electric power utilization

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Research on the Source-Load Interactive Scheduling Strategy for Modern Industrial Parks 2

Research on the Source-Load Interactive Scheduling Strategy ...

引用

2019 2nd International Symposium on Power Electronics and Control Engineering, ISPECE 2019

作者： Haibo, Tan Kai, Li Mouhai, Liu Haiyuan, Wang Cong, Tan Zhiguo, Liu Changsha410004 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha410004 China

Aiming at the problems of diversified demand for electricity, high rate of load growth, limited distribution network corridor and single power supply mode in industrial parks, this paper explores a new scheduling strategy, studies a mechanism of source-load interactive scheduling for modern industrial parks, and puts forward three scheduling strategies, namely, optimal electricity price, friendly power grid and enhanced production. The strategy has been applied in a smart industrial park of hunan Power Grid. The application results show that the method can effectively improve the power supply capacity of the modern industrial parks, reduce the total cost of electricity, and enhance the load rate of distribution transformers, and it also has high economic and practical value. © Published under licence by IOP Publishing Ltd.

关键词： Scheduling

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Research on key technology of Bluetooth Miniature Circuit Breaker for Electric Energy Meter 4

Research on Key Technology of Bluetooth Miniature Circuit Br...

引用

4th IEEE China International electrical and Energy Conference, CIEEC 2021

作者： Xiao, Yu Wen, He Xiong, Dezhi Zheng, Xiaoping Zhang, Baoliang Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha China Hunan University School of Electrical and Information Engineering Changsha China Wasion Group Co. Ltd. Changsha China China Electric Power Research Institute Limited Company Beijing China

ISBN: (纸本)9781728171494

Aiming at the demand of the new generation electric energy meter to control electricity through Bluetooth, the existing research and application based on Bluetooth technology are comprehensively analyzed. The overall design scheme of the Bluetooth smart miniature circuit breaker is proposed, and the main functions of each functional module are specified. In order to realize the accurate pairing between the Bluetooth electric energy meter and the associated Bluetooth circuit breaker, an accurate pairing method based on current fingerprint technology is proposed, the current fingerprint characteristics are given, and the current fingerprint module and characteristic code encoding method are designed. The automatic pairing principle and process of the Bluetooth miniature circuit breaker for the electric energy meter are designed, and the accurate pairing between the Bluetooth electric energy meter and the Bluetooth circuit breaker is realized. The technology can effectively improve the pairing success rate of Bluetooth miniature circuit breakers and prevent false tripping caused by paring errors. © 2021 IEEE.

关键词： Bluetooth

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Analysis on Influencing Factors of Electricity Sales for Electric Data Security 1

引用

12th International Symposium on Cyberspace Safety and Security, CSS 2020

作者： He, Hailing Zou, Wei Guo, Qinghong Wu, Wenxian Xiao, Kejiang Changsha410004 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha410004 China Hubei Research Center for Educational Informationization Faculty of Artificial Intelligence in Education Central China Normal University Wuhan430079 China

ISBN: (数字)9783030736712

ISBN: (纸本)9783030736705

Electricity has become one of the most important energy in human social. A reliable analysis of the influencing factors of electricity sales will help strengthen the electricity companies, related national energy departments’ control and security over the expected electricity consumption across the country. In this paper, we analyze the relationship between different types of electricity sales and a variety of potential factors, including immediacy factors, leading factors and the influencing of Chinese New Year by using Pearson correlation coefficient, dynamical time warping. Through the result of experiment, we found that the influencing factors are different for different electricity usage categories. And some factors have lagging effects on electricity sales, so we need to comprehensively consider immediacy factors and leading factors when forecasting electricity sales. At the same time, we also found that Chinese New Year also has a significant impact on electricity sales, thus Chinese New Year is also is also an important factor affecting electricity sales. © 2021, Springer Nature Switzerland AG.

关键词： Sales

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Optimal Design of Household Electricity Consumption with Distributed Photovoltaic System Based on User Demand Response

Optimal Design of Household Electricity Consumption with Dis...

引用

IEEE International Conference on Power and Energy Systems (ICPES)

作者： Hanjun Deng Mingqi Yu Suihan Zhang Xing He Yeqin Ma Rui Ma Rui Huang Wenwei Zeng Jiale Li State Grid Hunan Electric Power Company Limited Changsha Hunan China State Grid Hunan Electric Power Company Limited Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha Hunan China School of Electrical & Information Engineering Changsha University of Science & Technology Changsha Hunan China

With the rapid development of economy and technology, the demand for electricity is growing day by day. In order to make the clean energy fully absorbed, different types of load are divided and modeled from the home users with photovoltaic power generation system. On this basis, a multi-objective optimization model based on power consumption and user comfort index was established, and then a household electricity optimization scheme based on user demand response was proposed. Finally, the effectiveness of the scheme was verified by simulation. While effectively saving electricity costs for users, we can better consume photovoltaic power generation and achieve peak cutting and valley filling.

关键词： Photovoltaic systems Costs Reliability engineering Demand response Filling Power system reliability Indexes

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Three-Phase Unbalanced Treatment Scheme Based on High-Speed Power Line Carrier 2

Three-Phase Unbalanced Treatment Scheme Based on High-Speed ...

引用

2019 2nd International Symposium on Power Electronics and Control Engineering, ISPECE 2019

作者： Huang, Rui Guo, Guang Chen, Jianhua Liu, Mouhai Liu, Zhiguo Yu, Minqi State Grid Hunan Electric Power Company Changsha Hunan410000 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Changsha Hunan410000 China

Most of the low-voltage distribution networks are three-phase four wire systems. Because of the quantity and dispersion of single-phase power users, the three-phase load unbalanced problem exists in a large number of low-voltage stations. With the continuous increase of power consumption level of the majority of power customers, the three-phase load unbalanced has become increasingly prominent in low-voltage station area. In this paper, the mechanism of three-phase unbalance generation and the defects of traditional treatment methods are introduced. On this basis, a three-phase unbalanced treatment scheme for low-pressure station area is proposed. The scheme can test out three-phase imbalance of low-voltage substation area quickly and accurately, and adjust the load phase sequence in real time without power failure through the intelligent commutation switch system, so that three-phase load in the station area lies a comparatively balanced condition. The scheme can cut down the loss of transformer and line caused through unbalanced three-phase load e in nicely. And it can restrain single-phase overcurrent, and solve the problem of terminal low voltage treatment. © Published under licence by IOP Publishing Ltd.

关键词： Voltage distribution measurement

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Prediction of Distributed Photovoltaic Users' Electric Energy Data Based on BP Neural Network Algorithm

Prediction of Distributed Photovoltaic Users' Electric Energ...

引用

IEEE International Conference on Power and Energy Systems (ICPES)

作者： Yu Xiao Xing He Rui Huang Yuping Su Suihan Zhang Mouhai Liu Wenwei Zeng Ruixian Wang State Grid Hunan Electric Power Company Limited Changsha China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology State Grid Hunan Electric Power Company Limited Changsha China School of Electrical and Information Engineering Changsha University of Science and Technology Changsha China

In this paper, a BP neural network (BPN) algorithm model is utilized to forecast the electric energy data of distributed photovoltaic (PV) users. One month's forward active power and voltage data of PV users are collected. The data was collected every hour. So, 24 data were collected every day. Then a BPN algorithm training model are established, First 20 of the days were considered for training data and final 10 days were considered for testing data. Through simulation experiment, the graph of predicted value and actual value of the forward active power and voltage of distributed PV users are obtained. It is concluded that the BPN algorithm model is an accurate model in predicting PV users' data, and the model is more accurate in predicting voltage than in predicting forward active power. The BPN algorithm model could be an effective model for a short-term forecasting of local small distributed PV station output, and has certain significance for the power management department to formulate energy management and dispatching schemes for stability and safekeeping on large grid after PV grid connection.

关键词： Photovoltaic systems Power system management Neural networks Voltage Predictive models Power system stability Prediction algorithms

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