A method for urban high-voltage distribution network partitioning and energy storage planning
Centralized energy storage plays a critical role in grid applications such as peak shaving， valley filling， and balancing supply and demand across different partitions. However， existing energy storage station planning often lacks research on the supply-demand balance within specific partitions. To...
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zhejiang electric power
2025-04-01
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| Series: | Zhejiang dianli |
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| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=38f22f1a-e4ff-4ffb-a122-cbf9c360419e |
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| _version_ | 1849722102608822272 |
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| author | LIU Zhengmao ZHU Sicheng HUANG Zhongliang JIANG Jianjie ZHU Yitao ZHANG Youbing PAN Hongwu |
| author_facet | LIU Zhengmao ZHU Sicheng HUANG Zhongliang JIANG Jianjie ZHU Yitao ZHANG Youbing PAN Hongwu |
| author_sort | LIU Zhengmao |
| collection | DOAJ |
| description | Centralized energy storage plays a critical role in grid applications such as peak shaving， valley filling， and balancing supply and demand across different partitions. However， existing energy storage station planning often lacks research on the supply-demand balance within specific partitions. To address this issue， a method for urban high-voltage distribution network partitioning and energy storage planning is proposed. First， the network partitioning is optimized using a Newman’s fast algorithm based on the electrical coupling strength （ECS） matrix. Then， an energy storage configuration model for the urban distribution networks is developed， with economic efficiency and grid vulnerability as optimization objectives， considering constraints such as energy storage limits and power flow constraints. A multi-objective particle swarm optimization （MOPSO） is employed to obtain the Pareto frontier， and the rank sum ratio （RSR） is used to determine the optimal site and capacity of energy storage for each partition. Finally， case studies based on the IEEE 39-node grid are conducted to verify that the proposed method enables rational planning of grid-side energy storage stations， effectively enhancing the autonomy and economy of partition-based operation of urban distribution networks. |
| format | Article |
| id | doaj-art-2c9c7cd9c73e4662a138317c12aee4e1 |
| institution | DOAJ |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-2c9c7cd9c73e4662a138317c12aee4e12025-08-20T03:11:26Zzhozhejiang electric powerZhejiang dianli1007-18812025-04-0144412213210.19585/j.zjdl.2025040131007-1881（2025）04-0122-11A method for urban high-voltage distribution network partitioning and energy storage planningLIU Zhengmao0ZHU Sicheng1HUANG Zhongliang2JIANG Jianjie3ZHU Yitao4ZHANG Youbing5PAN Hongwu6Huzhou Electric Power Design Institute Co.， Ltd.， Huzhou， Zhejiang 313000， ChinaHuzhou Electric Power Design Institute Co.， Ltd.， Huzhou， Zhejiang 313000， ChinaCollege of Information Engineering， Zhejiang University of Technology， Hangzhou 310014， ChinaState Grid Huzhou Power Supply Company， Huzhou， Zhejiang 313000， ChinaHuzhou Electric Power Design Institute Co.， Ltd.， Huzhou， Zhejiang 313000， ChinaCollege of Information Engineering， Zhejiang University of Technology， Hangzhou 310014， ChinaState Grid Huzhou Power Supply Company， Huzhou， Zhejiang 313000， ChinaCentralized energy storage plays a critical role in grid applications such as peak shaving， valley filling， and balancing supply and demand across different partitions. However， existing energy storage station planning often lacks research on the supply-demand balance within specific partitions. To address this issue， a method for urban high-voltage distribution network partitioning and energy storage planning is proposed. First， the network partitioning is optimized using a Newman’s fast algorithm based on the electrical coupling strength （ECS） matrix. Then， an energy storage configuration model for the urban distribution networks is developed， with economic efficiency and grid vulnerability as optimization objectives， considering constraints such as energy storage limits and power flow constraints. A multi-objective particle swarm optimization （MOPSO） is employed to obtain the Pareto frontier， and the rank sum ratio （RSR） is used to determine the optimal site and capacity of energy storage for each partition. Finally， case studies based on the IEEE 39-node grid are conducted to verify that the proposed method enables rational planning of grid-side energy storage stations， effectively enhancing the autonomy and economy of partition-based operation of urban distribution networks.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=38f22f1a-e4ff-4ffb-a122-cbf9c360419eenergy storage stationgrid partitionsupply-demand balanceenergy storage planning |
| spellingShingle | LIU Zhengmao ZHU Sicheng HUANG Zhongliang JIANG Jianjie ZHU Yitao ZHANG Youbing PAN Hongwu A method for urban high-voltage distribution network partitioning and energy storage planning Zhejiang dianli energy storage station grid partition supply-demand balance energy storage planning |
| title | A method for urban high-voltage distribution network partitioning and energy storage planning |
| title_full | A method for urban high-voltage distribution network partitioning and energy storage planning |
| title_fullStr | A method for urban high-voltage distribution network partitioning and energy storage planning |
| title_full_unstemmed | A method for urban high-voltage distribution network partitioning and energy storage planning |
| title_short | A method for urban high-voltage distribution network partitioning and energy storage planning |
| title_sort | method for urban high voltage distribution network partitioning and energy storage planning |
| topic | energy storage station grid partition supply-demand balance energy storage planning |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=38f22f1a-e4ff-4ffb-a122-cbf9c360419e |
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