Pengfei Bian, Yuanxin Liu, Wen Wang, Ye Yang, Shu Su, Shanshan Shang, Mingguang Liu
{"title":"Optimal Regulation Strategy for Electric Vehicle Load Clusters based on Demand Response","authors":"Pengfei Bian, Yuanxin Liu, Wen Wang, Ye Yang, Shu Su, Shanshan Shang, Mingguang Liu","doi":"10.1109/ICPST56889.2023.10165166","DOIUrl":null,"url":null,"abstract":"With the rapid increase of electric vehicle ownership, the disorderly grid-connected charging of electric vehicles will bring great uncertainty to the smooth load of the distribution network, so it is important to optimize the regulation of electric vehicle clusters. To this end, an optimal regulation strategy for electric vehicle load clusters based on Demand Response is proposed. Through the analysis of the source load characteristics of electric vehicles, the elastic service rate and electricity incentive are innovatively proposed. Finally, the data of electric vehicles in the northern Hebei region is used for example simulation. The results show that the demand response-based EV cluster optimization and regulation strategy can reduce the charging cost of users and get a better dispatching effect while reducing the system load fluctuation.","PeriodicalId":231392,"journal":{"name":"2023 IEEE International Conference on Power Science and Technology (ICPST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Power Science and Technology (ICPST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPST56889.2023.10165166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid increase of electric vehicle ownership, the disorderly grid-connected charging of electric vehicles will bring great uncertainty to the smooth load of the distribution network, so it is important to optimize the regulation of electric vehicle clusters. To this end, an optimal regulation strategy for electric vehicle load clusters based on Demand Response is proposed. Through the analysis of the source load characteristics of electric vehicles, the elastic service rate and electricity incentive are innovatively proposed. Finally, the data of electric vehicles in the northern Hebei region is used for example simulation. The results show that the demand response-based EV cluster optimization and regulation strategy can reduce the charging cost of users and get a better dispatching effect while reducing the system load fluctuation.