Study on site selection planning of urban electric vehicle charging station  

作　　者：刘娜 CHENG Jiaxin DUAN Yukai LIU Na;CHENG Jiaxin;DUAN Yukai(School of Business,Shanghai Dianji University,Shanghai,201306 P.R.China)

机构地区：[1]School of Business,Shanghai Dianji University,Shanghai,201306 P.R.China

出　　处：《High Technology Letters》2024年第1期75-84,共10页高技术通讯（英文版）

基　　金：the National Social Science Foundation of China(No.18AJL014)。

摘　　要：The large-scale development of electric vehicles(EVs)requires numerous charging stations to serve them,and the charging stations should be reasonably laid out and planned according to the charging demand of electric vehicles.Considering the costs of both operators and users,a site selection model for optimal layout planning of charging stations is constructed,and a queuing theory approach is used to determine the charging pile configuration to meet the charging demand in the planning area.To solve the difficulties of particle swarm global optimization search,the improved random drift particle swarm optimization(IRDPSO)and Voronoi diagram are used to jointly solve for the optimal layout of electric vehicles.The final arithmetic analysis verifies the feasibility and practicality of the model and algorithm,and the results show that the total social cost is minimized when the charging station is 9,the location of the charging station is close to the center of gravity and the layout is reasonable.

关 键 词：charging station electric vehicle(EV) improved random drift particle swarm optimization(IRDPSO) optimal planning 

分 类 号：TM910.6[电气工程—电力电子与电力传动] U491.8[交通运输工程—交通运输规划与管理]