{"title":"Neighborhood level network aware electric vehicle charging management with mixed control strategy","authors":"Di Wu, Haibo Zeng, B. Boulet","doi":"10.1109/IEVC.2014.7056207","DOIUrl":null,"url":null,"abstract":"With the fast development of the electric vehicle (EV) technology and the pressing environment conditions. It is expected that EVs will grow rapidly in the near feature. However, the broad adoption of EVs will produce a high power demand on the power grid. Smart charging control of the EVs could help to relieve the possible negative influences on the power grid. Many researchers have investigated possible algorithms for EV charging control. Considering customers' willingness, this paper proposes a mixed charging control framework. The proposed control framework is aimed to minimize the charging cost and satisfy the customers' charging freedom requirements. A user satisfaction determining method is also proposed which can help to evaluate user satisfactions for different control algorithms. Within the proposed framework, both the benefits for the utility companies and the customers are considered. The optimization framework is evaluated with the data from a local utility company. Simulation results show the efficiency of the proposed framework. The framework can also be further used to evaluate the penetration for a certain neighborhood level network.","PeriodicalId":223794,"journal":{"name":"2014 IEEE International Electric Vehicle Conference (IEVC)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Electric Vehicle Conference (IEVC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEVC.2014.7056207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
With the fast development of the electric vehicle (EV) technology and the pressing environment conditions. It is expected that EVs will grow rapidly in the near feature. However, the broad adoption of EVs will produce a high power demand on the power grid. Smart charging control of the EVs could help to relieve the possible negative influences on the power grid. Many researchers have investigated possible algorithms for EV charging control. Considering customers' willingness, this paper proposes a mixed charging control framework. The proposed control framework is aimed to minimize the charging cost and satisfy the customers' charging freedom requirements. A user satisfaction determining method is also proposed which can help to evaluate user satisfactions for different control algorithms. Within the proposed framework, both the benefits for the utility companies and the customers are considered. The optimization framework is evaluated with the data from a local utility company. Simulation results show the efficiency of the proposed framework. The framework can also be further used to evaluate the penetration for a certain neighborhood level network.