Jinxing Xiao, Bingyan Xu, Ying Ye, Heli Chen, Zhenkun Li
{"title":"Research on Self-healing Restoration Power Supply Strategy of Active Distribution Network Based on Energy Storage","authors":"Jinxing Xiao, Bingyan Xu, Ying Ye, Heli Chen, Zhenkun Li","doi":"10.1109/SPIES52282.2021.9633774","DOIUrl":null,"url":null,"abstract":"With the rapid decline of energy storage cost, the application of centralized and distributed energy storage in power grid has attracted extensive attention from researchers at home and abroad in recent years. This paper puts forward a kind of improving power supply reliability distribution network storage location constant volume bi-level optimization model. First, this paper puts forward the islands of the probability of energy storage for power supply based on the strategy, on the basis of this puts forward distribution network fault impact block, and established a distribution network loss; Secondly, using bi-level optimization algorithm to optimize a storage location and capacity allocation. The Outer load loss risk is adopted to define the position of the storage location, the inner layer using particle swarm optimization (PSO) algorithm to get the optimal capacity configuration and energy storage charge and discharge operation strategy; Finally, to the node test system as an example of the proposed method, the simulation results verify the accuracy of the method.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES52282.2021.9633774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the rapid decline of energy storage cost, the application of centralized and distributed energy storage in power grid has attracted extensive attention from researchers at home and abroad in recent years. This paper puts forward a kind of improving power supply reliability distribution network storage location constant volume bi-level optimization model. First, this paper puts forward the islands of the probability of energy storage for power supply based on the strategy, on the basis of this puts forward distribution network fault impact block, and established a distribution network loss; Secondly, using bi-level optimization algorithm to optimize a storage location and capacity allocation. The Outer load loss risk is adopted to define the position of the storage location, the inner layer using particle swarm optimization (PSO) algorithm to get the optimal capacity configuration and energy storage charge and discharge operation strategy; Finally, to the node test system as an example of the proposed method, the simulation results verify the accuracy of the method.