Location Planning of Charging Stations Considering the Total Cost of Charging Stations and Users

Abstract

In order to solve the problems of environmental pollution and lack of fossil energy, electric vehicles have been vigorously developed and promoted in China. With the increase in electric vehicles, how to properly plan charging stations for electric vehicle has become a very important issue. Aiming at the location planning of electric vehicle charging stations, this paper proposes and establishes a charging station planning model that takes traffic flow information, the cost of building a charging station, operating costs, operating income, user time costs, road losses into consideration, and aims to minimize the difference between the charging station and user's total costs and benefits. Dijkstra shortest path algorithm is used to calculate the shortest actual distance from each demand point to the charging station, the Voronoi diagram is used to divide the service scope of each charging station, the adaptive weight particle swarm optimization algorithm is used to optimize the site location. The example analysis shows that the model can solve the problem of site selection of electric vehicle station.