{"title":"考虑电压暂降的储能电站优化配置","authors":"Ying Li, Hui Peng, Fan Yang, Shaowei Liang","doi":"10.1109/ACFPE56003.2022.9952266","DOIUrl":null,"url":null,"abstract":"The problem of voltage sag can be alleviated to some extent by building energy storage power station(ESPS). Therefore, it is necessary to consider the voltage sag level of sensitive users to conduct site selection and capacity allocation of ESPSs. Firstly, the voltage sag severity of sensitive users is evaluated, the sensitive users are graded and quantified, and the comprehensive location coefficient of each node is determined according to the annual economic loss of sensitive users. Secondly, the energy storage cost optimization model, which considers the cost of ESPS itself and the cost of voltage sag detection equipment, is constructed. Thirdly, based on the comprehensive location coefficient of each node, the improved particle swarm optimization algorithm(MPSO) is used to obtain the capacity optimal allocation scheme of ESPS. Finally, the simulation results of IEEE33-bus distribution system show that the method in this paper has good applicability in optimal configuration of ESPS considering voltage sag.","PeriodicalId":198086,"journal":{"name":"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Configuration of Energy Storage Power Station Considering Voltage Sag\",\"authors\":\"Ying Li, Hui Peng, Fan Yang, Shaowei Liang\",\"doi\":\"10.1109/ACFPE56003.2022.9952266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of voltage sag can be alleviated to some extent by building energy storage power station(ESPS). Therefore, it is necessary to consider the voltage sag level of sensitive users to conduct site selection and capacity allocation of ESPSs. Firstly, the voltage sag severity of sensitive users is evaluated, the sensitive users are graded and quantified, and the comprehensive location coefficient of each node is determined according to the annual economic loss of sensitive users. Secondly, the energy storage cost optimization model, which considers the cost of ESPS itself and the cost of voltage sag detection equipment, is constructed. Thirdly, based on the comprehensive location coefficient of each node, the improved particle swarm optimization algorithm(MPSO) is used to obtain the capacity optimal allocation scheme of ESPS. Finally, the simulation results of IEEE33-bus distribution system show that the method in this paper has good applicability in optimal configuration of ESPS considering voltage sag.\",\"PeriodicalId\":198086,\"journal\":{\"name\":\"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Asian Conference on Frontiers of Power and Energy (ACFPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACFPE56003.2022.9952266\",\"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 Asian Conference on Frontiers of Power and Energy (ACFPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACFPE56003.2022.9952266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Configuration of Energy Storage Power Station Considering Voltage Sag
The problem of voltage sag can be alleviated to some extent by building energy storage power station(ESPS). Therefore, it is necessary to consider the voltage sag level of sensitive users to conduct site selection and capacity allocation of ESPSs. Firstly, the voltage sag severity of sensitive users is evaluated, the sensitive users are graded and quantified, and the comprehensive location coefficient of each node is determined according to the annual economic loss of sensitive users. Secondly, the energy storage cost optimization model, which considers the cost of ESPS itself and the cost of voltage sag detection equipment, is constructed. Thirdly, based on the comprehensive location coefficient of each node, the improved particle swarm optimization algorithm(MPSO) is used to obtain the capacity optimal allocation scheme of ESPS. Finally, the simulation results of IEEE33-bus distribution system show that the method in this paper has good applicability in optimal configuration of ESPS considering voltage sag.
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