|LIU Donglin,WANG Yufei,ZHANG Yu,XUE Hua,MI Yang,YU Aiqing.Siting and sizing method of electric vehicle charging stations based on Huff model[J].Electric Power Automation Equipment,2023,43(11):103-110
|关键词: 电动汽车 充电站 Huff模型 服务范围 免疫克隆选择算法 充电随机性
|Siting and sizing method of electric vehicle charging stations based on Huff model
LIU Donglin1, WANG Yufei1, ZHANG Yu1,2, XUE Hua1, MI Yang1, YU Aiqing1
1.College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China
|In order to solve the problem of unreasonable service range division and capacity allocation of charging stations due to the lack of consideration of the randomness of users’ charging selection behavior, a siting and sizing method of electric vehicle charging stations based on Huff model is proposed. Based on the comprehensive consideration of the influence of charging station scale, charging price and users’ charging cost on users’ charging selection behavior, the Huff model is used to analyze users’ selection probabilities of different charging stations, and the service range and charging demand of charging stations are determined based on the users’ selection probabilities. Considering the users’ charging accessibility, the total power of planning area and the charging power of electric vehicles comprehensively, the siting and sizing model of charging stations is established with the goal of minimizing the total annual cost of charging stations, which is solved by the immune clonal selection-variable neighborhood search hybrid algorithm. MATLAB-based simulative results show that the proposed siting and sizing method can reasonably divide the service range and improve the economy of charging station planning.
|Key words: electric vehicles charging station Huff model service range immune clonal selection algorithm charging randomness