Hongbin Zhang, Weisheng Liu, Shumin Sun, YU Peng, Chuanzhi Cui
{"title":"考虑协同增量的微电网集群划分及优化分配方法","authors":"Hongbin Zhang, Weisheng Liu, Shumin Sun, YU Peng, Chuanzhi Cui","doi":"10.1109/ICoPESA56898.2023.10140464","DOIUrl":null,"url":null,"abstract":"In the distribution network with a high proportion of renewable energy penetration, the cooperative operation of multiple microgrids can constitute a microgrid cluster. The capacity optimization of distributed generator (DG) and energy storage system (ESS) of each microgrid in the microgrid cluster is realized, which can improve distribution network economic operation. This paper proposes a microgrid cluster division and optimal allocation method considering cooperative increment: The microgrid planning model considering renewable energy consumption is established, achieving the lowest the lowest annual equivalent cost of each microgrid. Considering the node coupling degree, a regional distribution network cluster partition is presented. Microgrids that are in the same partition and have cooperative increments for joint operation are divided into microgrid clusters. Finally, a two-layer microgrid cluster optimization model is established for joint planning of microgrid cluster. The objective of upper layer model is to optimize capacity allocation of microgrid cluster, and the lower layer is a joint optimization model considering the operation cost of microgrid cluster. The effectiveness and superiority of the proposed microgrid cluster planning method is verified by simulation results of the 42-node system reasonably expanded from IEEE-33 system. The results show that the microgrid cluster planning can achieve better economic operation of distribution network and the nearby consumption of high proportion of renewable energy.","PeriodicalId":127339,"journal":{"name":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Microgrid Cluster Division and Optimal Allocation Method Considering Cooperative Increment\",\"authors\":\"Hongbin Zhang, Weisheng Liu, Shumin Sun, YU Peng, Chuanzhi Cui\",\"doi\":\"10.1109/ICoPESA56898.2023.10140464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the distribution network with a high proportion of renewable energy penetration, the cooperative operation of multiple microgrids can constitute a microgrid cluster. The capacity optimization of distributed generator (DG) and energy storage system (ESS) of each microgrid in the microgrid cluster is realized, which can improve distribution network economic operation. This paper proposes a microgrid cluster division and optimal allocation method considering cooperative increment: The microgrid planning model considering renewable energy consumption is established, achieving the lowest the lowest annual equivalent cost of each microgrid. Considering the node coupling degree, a regional distribution network cluster partition is presented. Microgrids that are in the same partition and have cooperative increments for joint operation are divided into microgrid clusters. Finally, a two-layer microgrid cluster optimization model is established for joint planning of microgrid cluster. The objective of upper layer model is to optimize capacity allocation of microgrid cluster, and the lower layer is a joint optimization model considering the operation cost of microgrid cluster. The effectiveness and superiority of the proposed microgrid cluster planning method is verified by simulation results of the 42-node system reasonably expanded from IEEE-33 system. The results show that the microgrid cluster planning can achieve better economic operation of distribution network and the nearby consumption of high proportion of renewable energy.\",\"PeriodicalId\":127339,\"journal\":{\"name\":\"2023 International Conference on Power Energy Systems and Applications (ICoPESA)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Power Energy Systems and Applications (ICoPESA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICoPESA56898.2023.10140464\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Power Energy Systems and Applications (ICoPESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICoPESA56898.2023.10140464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Microgrid Cluster Division and Optimal Allocation Method Considering Cooperative Increment
In the distribution network with a high proportion of renewable energy penetration, the cooperative operation of multiple microgrids can constitute a microgrid cluster. The capacity optimization of distributed generator (DG) and energy storage system (ESS) of each microgrid in the microgrid cluster is realized, which can improve distribution network economic operation. This paper proposes a microgrid cluster division and optimal allocation method considering cooperative increment: The microgrid planning model considering renewable energy consumption is established, achieving the lowest the lowest annual equivalent cost of each microgrid. Considering the node coupling degree, a regional distribution network cluster partition is presented. Microgrids that are in the same partition and have cooperative increments for joint operation are divided into microgrid clusters. Finally, a two-layer microgrid cluster optimization model is established for joint planning of microgrid cluster. The objective of upper layer model is to optimize capacity allocation of microgrid cluster, and the lower layer is a joint optimization model considering the operation cost of microgrid cluster. The effectiveness and superiority of the proposed microgrid cluster planning method is verified by simulation results of the 42-node system reasonably expanded from IEEE-33 system. The results show that the microgrid cluster planning can achieve better economic operation of distribution network and the nearby consumption of high proportion of renewable energy.