西华大学学报（自然科学版）2025，Vol.44Issue(3)：47-60,14.DOI:10.12198/j.issn.1673-159X.5009
基于充电需求的电动汽车充电站选址定容优化方法
A Constant Capacity Optimization Method for EV Charging Station Location Based on Charging Demand
摘要
Abstract
Under the dual-carbon background,the rapid development of electric vehicle(EV)has well responded to the national energy intention of clean and low-carbon transformation.Electric vehicle char-ging station(EVCS)is a necessary charging infrastructure for EV.Its reliable performance and reasonable layout planning not only affect the interests of investment operators,but also directly affect whether users travel economically and conveniently.Therefore,in order to balance the operating interests of investors,provide EV users with a good charging experience,and configure the optimal number and capacity of char-ging piles in the station,this paper conducted research on the problem of determining the optimal number,capacity and site.Firstly,the Monte Carlo method was used to predict the temporal and spatial distribution of charging demand and the average stopping time and average charging time of charging piles with differ-ent capacities.Then the planning model of location and volume was established,and the particle swarm op-timization algorithm was used to solve the model for location optimization.Finally,taking a city as an ex-ample,the simulation experiment was carried out to obtain the optimal charging station location and capa-city scheme,which verified the effectiveness of the optimization method proposed in this paper.关键词
电动汽车/充电需求预测/充电站/蒙特卡罗/选址定容/粒子群算法Key words
electric vehicle/charging demand forecast/charging station/Monte Carlo/location and capacity/particle swarm optimization分类
交通工程引用本文复制引用
李晶晶,田桂林,张永敏,严洁,崔胜胜..基于充电需求的电动汽车充电站选址定容优化方法[J].西华大学学报（自然科学版）,2025,44(3):47-60,14.基金项目
国网青海省电力公司科技项目资助(52283420000K). （52283420000K）
