Study On Location And Capacity Planning Of Urban Electric Vehicle Charging Stations

With the rapid development of China’s economy,the market share of private cars is getting higher and higher,and the problems of environment and energy consumption are becoming more and more prominent.As a new energy vehicle,pure electric vehicles are not only pollution-free but also very quiet,which cannot be replaced by other vehicles,and are therefore considered to be the most ideal transportation vehicles at present.In addition,whether the sustainable development of electric vehicle charging stations and other infrastructure planning is reasonable will become a key factor in the balanced and rapid development of the electric vehicle field.Reasonable planning of electric vehicle charging station site selection can not only reduce the cost of operators,but also facilitate the user’s travel,thus driving the development of the entire charging industry.Therefore,China must vigorously develop charging infrastructure facilities and plan the layout of charging infrastructure facilities in a scientific and reasonable manner.In order to better solve the problem of site selection planning for EV charging stations,this paper first puts forward the construction principles of site selection for EV charging stations,explores the main factors affecting their site selection,and introduces the site selection theory and optimization method related to EV.When constructing the EV multi-objective programming model,the operator’s charging station construction and operation cost,EV users’ annual time cost during charging,annual waiting time cost,annual charging time and electricity price cost were comprehensively considered,and constraints such as service demand and distance were taken into account in the model.Then,a new improved random drift particle swarm optimization algorithm is introduced,and its performance is compared with the basic PSO and RDPSO algorithms based on 7 test functions.Finally,the model is applied to a planning area,and the improved random drift particle swarm optimization algorithm and Voronoi diagram are used to solve the problem.The optimal number and service range of charging stations are obtained with the minimum comprehensive cost of operators and EV users as the optimization objective.The capacity configuration model based on queuing theory is used as the objective function to calculate the optimal number configuration of charging piles in each charging station.The solution results show that the IRDPSO algorithm can solve the total social cost lower than the traditional PSO,and the charging station location is close to the center of gravity and the layout is reasonable,which verifies the superiority of improved random drift particle swarm optimization algorithm.Finally,the simulation results are analyzed,so as to give some suggestions for decision makers of site selection planning.