{"title":"Optimal EV Charging Scheduling considering the Charging Characteristics of EV Batteries","authors":"Chaoran Lian, Jin Zhang, Liang Che","doi":"10.1109/iSPEC53008.2021.9735716","DOIUrl":null,"url":null,"abstract":"Along with the rapid increase in the number of electric vehicles (EVs), EV charging control and V2G energy management become critical for mitigating the impact posed by the large-scale EV charging to the distribution system. However, most existing approaches on the optimal EV charging scheduling neglects the charging characteristics of EV batteries, which may cause unrealistic scheduling commands. To address this issue, this paper investigates the charging characteristics of EV batteries, expresses such characteristics by introducing a charging power curve model, and then proposes a bi-level model for the EV charging optimization by considering EV batteries’ physical constraints. Real EV charging data in Changsha city of China is obtained for the analysis and simulations performed on the IEEE 33-node distribution system demonstrate the effectiveness of the proposed approach.","PeriodicalId":417862,"journal":{"name":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Sustainable Power and Energy Conference (iSPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSPEC53008.2021.9735716","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
Along with the rapid increase in the number of electric vehicles (EVs), EV charging control and V2G energy management become critical for mitigating the impact posed by the large-scale EV charging to the distribution system. However, most existing approaches on the optimal EV charging scheduling neglects the charging characteristics of EV batteries, which may cause unrealistic scheduling commands. To address this issue, this paper investigates the charging characteristics of EV batteries, expresses such characteristics by introducing a charging power curve model, and then proposes a bi-level model for the EV charging optimization by considering EV batteries’ physical constraints. Real EV charging data in Changsha city of China is obtained for the analysis and simulations performed on the IEEE 33-node distribution system demonstrate the effectiveness of the proposed approach.