Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement
Accurate topology is the basis of fine management and safe operation of distribution network. With the development of distributed generation, more and more users participate in the distribution network, which makes the flow direction of distribution network more complex and brings some difficulties...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9328870/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849731591563116544 |
|---|---|
| author | Lizong Zhang Fengming Zhang Xiaolei Li Chunlei Wang Taotao Chen Qingqing Wang Huilin Hu |
| author_facet | Lizong Zhang Fengming Zhang Xiaolei Li Chunlei Wang Taotao Chen Qingqing Wang Huilin Hu |
| author_sort | Lizong Zhang |
| collection | DOAJ |
| description | Accurate topology is the basis of fine management and safe operation of distribution network. With the development of distributed generation, more and more users participate in the distribution network, which makes the flow direction of distribution network more complex and brings some difficulties to the topology identification of distribution network. The existing distribution network topology identification methods lack of multi period measurement data, and the utilization rate of multi-user data is low, which leads to the low accuracy of distribution network topology identification. To solve this problem, a distribution network topology identification method based on multi-user fusion data is proposed. Firstly, the existing distribution network measurement system is analyzed, and the data and characteristics that can be collected in the actual project are obtained. Then, according to the characteristics of different data sampling frequency and accuracy, multi-user data fusion is carried out, and a PMU based multi-user data time scale alignment method and a pseudo measurement generation method based on linear extrapolation are proposed. Finally, an optimization model of distribution network topology identification based on multi-user and multi period fusion data is proposed. By minimizing the error between the measured value and the estimated value in several time periods, the model realizes the identification of distribution network topology. Simulation results show that the method is correct and effective. |
| format | Article |
| id | doaj-art-6cf0b53ff790419ea8d6306bf9a197fb |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-6cf0b53ff790419ea8d6306bf9a197fb2025-08-20T03:08:31ZengIEEEIEEE Access2169-35362022-01-0110727857279310.1109/ACCESS.2021.30529939328870Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data MeasurementLizong Zhang0https://orcid.org/0000-0002-8013-4636Fengming Zhang1Xiaolei Li2Chunlei Wang3Taotao Chen4Qingqing Wang5Huilin Hu6https://orcid.org/0000-0003-0250-3712State Grid Shaoxing Electric Power Supply Company, Shaoxing, ChinaState Grid Shaoxing Electric Power Supply Company, Shaoxing, ChinaState Grid Shaoxing Electric Power Supply Company, Shaoxing, ChinaState Grid Zhejiang Xinchang Electric Power Supply Company, Shaoxing, ChinaState Grid Zhejiang Xinchang Electric Power Supply Company, Shaoxing, ChinaState Grid Zhejiang Xinchang Electric Power Supply Company, Shaoxing, ChinaCollege of Electrical Engineering, Shanghai University of Electric Power, Shanghai, ChinaAccurate topology is the basis of fine management and safe operation of distribution network. With the development of distributed generation, more and more users participate in the distribution network, which makes the flow direction of distribution network more complex and brings some difficulties to the topology identification of distribution network. The existing distribution network topology identification methods lack of multi period measurement data, and the utilization rate of multi-user data is low, which leads to the low accuracy of distribution network topology identification. To solve this problem, a distribution network topology identification method based on multi-user fusion data is proposed. Firstly, the existing distribution network measurement system is analyzed, and the data and characteristics that can be collected in the actual project are obtained. Then, according to the characteristics of different data sampling frequency and accuracy, multi-user data fusion is carried out, and a PMU based multi-user data time scale alignment method and a pseudo measurement generation method based on linear extrapolation are proposed. Finally, an optimization model of distribution network topology identification based on multi-user and multi period fusion data is proposed. By minimizing the error between the measured value and the estimated value in several time periods, the model realizes the identification of distribution network topology. Simulation results show that the method is correct and effective.https://ieeexplore.ieee.org/document/9328870/Distribution networknonsynchronous measurementmulti-prosumer datatopology identificationprosumer group |
| spellingShingle | Lizong Zhang Fengming Zhang Xiaolei Li Chunlei Wang Taotao Chen Qingqing Wang Huilin Hu Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement IEEE Access Distribution network nonsynchronous measurement multi-prosumer data topology identification prosumer group |
| title | Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement |
| title_full | Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement |
| title_fullStr | Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement |
| title_full_unstemmed | Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement |
| title_short | Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement |
| title_sort | distribution network topology identification considering nonsynchronous multi prosumer data measurement |
| topic | Distribution network nonsynchronous measurement multi-prosumer data topology identification prosumer group |
| url | https://ieeexplore.ieee.org/document/9328870/ |
| work_keys_str_mv | AT lizongzhang distributionnetworktopologyidentificationconsideringnonsynchronousmultiprosumerdatameasurement AT fengmingzhang distributionnetworktopologyidentificationconsideringnonsynchronousmultiprosumerdatameasurement AT xiaoleili distributionnetworktopologyidentificationconsideringnonsynchronousmultiprosumerdatameasurement AT chunleiwang distributionnetworktopologyidentificationconsideringnonsynchronousmultiprosumerdatameasurement AT taotaochen distributionnetworktopologyidentificationconsideringnonsynchronousmultiprosumerdatameasurement AT qingqingwang distributionnetworktopologyidentificationconsideringnonsynchronousmultiprosumerdatameasurement AT huilinhu distributionnetworktopologyidentificationconsideringnonsynchronousmultiprosumerdatameasurement |