{"title":"EV Fleet Charging Management Method Considering the Uncertainty of Passenger Travel Choice","authors":"Jinran Guo, Zhaohao Ding","doi":"10.1109/ICPSAsia52756.2021.9621499","DOIUrl":null,"url":null,"abstract":"Given that many countries have issued a series of policies to promote the development of electric vehicles (EVs), the amount of EVs is growing rapidly around the world. The charging behaviour of EVs is related to the transportation system, power grid and passenger travel. Considering the uncertainty of passenger travel choice, we establish a EV fleet charging management method in this paper to optimize the dispatch of EV fleet and minimize the total system cost. On the one hand, we design the EV routing mechanism and charging scheduling strategy based on the traffic condition and the limit of charging stations. On the other hand, the uncertainty of passenger travel choice resulted from the consumer preference is also proposed in this model, which greatly affect the operation condition of EVs. In addition, a numerical case study is utilized to verify the effectiveness of the proposed model.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPSAsia52756.2021.9621499","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
Given that many countries have issued a series of policies to promote the development of electric vehicles (EVs), the amount of EVs is growing rapidly around the world. The charging behaviour of EVs is related to the transportation system, power grid and passenger travel. Considering the uncertainty of passenger travel choice, we establish a EV fleet charging management method in this paper to optimize the dispatch of EV fleet and minimize the total system cost. On the one hand, we design the EV routing mechanism and charging scheduling strategy based on the traffic condition and the limit of charging stations. On the other hand, the uncertainty of passenger travel choice resulted from the consumer preference is also proposed in this model, which greatly affect the operation condition of EVs. In addition, a numerical case study is utilized to verify the effectiveness of the proposed model.