Yifan Sun, Lin Wang, Yao Jiang, Ziyun Xu, Wenbin Xu
{"title":"考虑需求响应的区块链共享储能用户优化配置","authors":"Yifan Sun, Lin Wang, Yao Jiang, Ziyun Xu, Wenbin Xu","doi":"10.1109/ICPES56491.2022.10072970","DOIUrl":null,"url":null,"abstract":"In order to reduce the risks of high investment cost, centralized operation and opacity of centralized investment energy storage equipment, this paper proposes a peer-to-peer control and trade method which can realize decentralized peer-to-peer sharing for distributed energy storage equipment based on the blockchain technology. Then, the optimal optimization method of shared energy storage users considering demand response is proposed. Finally, this method is applied to the typical daily load in different seasons and solved by CPLEX. The results show that the optimal optimization method can help users smooth load curve by considering demand response.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization Configuration of Shared Energy Storage Users Considering Demand Response Based on Blockchain\",\"authors\":\"Yifan Sun, Lin Wang, Yao Jiang, Ziyun Xu, Wenbin Xu\",\"doi\":\"10.1109/ICPES56491.2022.10072970\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to reduce the risks of high investment cost, centralized operation and opacity of centralized investment energy storage equipment, this paper proposes a peer-to-peer control and trade method which can realize decentralized peer-to-peer sharing for distributed energy storage equipment based on the blockchain technology. Then, the optimal optimization method of shared energy storage users considering demand response is proposed. Finally, this method is applied to the typical daily load in different seasons and solved by CPLEX. The results show that the optimal optimization method can help users smooth load curve by considering demand response.\",\"PeriodicalId\":425438,\"journal\":{\"name\":\"2022 12th International Conference on Power and Energy Systems (ICPES)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 12th International Conference on Power and Energy Systems (ICPES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPES56491.2022.10072970\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Power and Energy Systems (ICPES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPES56491.2022.10072970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization Configuration of Shared Energy Storage Users Considering Demand Response Based on Blockchain
In order to reduce the risks of high investment cost, centralized operation and opacity of centralized investment energy storage equipment, this paper proposes a peer-to-peer control and trade method which can realize decentralized peer-to-peer sharing for distributed energy storage equipment based on the blockchain technology. Then, the optimal optimization method of shared energy storage users considering demand response is proposed. Finally, this method is applied to the typical daily load in different seasons and solved by CPLEX. The results show that the optimal optimization method can help users smooth load curve by considering demand response.
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