电测与仪表2024，Vol.61Issue(10)：39-49,11.DOI:10.19753/j.issn1001-1390.2024.10.006
基于充电需求预测的电动汽车充电站选址规划研究
Research on location planning of electric vehicle charging station based on prediction of charging demand
摘要
Abstract
Aiming at the current problem of location planning for electric vehicle charging station,a charging sta-tion location optimization strategy based on the prediction of charging demand distribution is proposed.This strategy establishes a charging station location and capacity model based on the Voronoi diagram method of Dijkstra shortest path and the double-layer dynamic queuing method to meet the charging demand under the continuous increase in the number of electric vehicles,on this basis,under the multi-objective constraints of the average annual construc-tion and operation costs of charging stations,penalty costs of distribution network,and charging costs of electric ve-hicles,the objective function is to minimize the total planning costs of electric vehicle charging stations.Finally,the improved particle swarm optimization algorithm is used to solve the objective function,and the newly-added charging station is analyzed in multiple scenarios.The simulation results of MATLAB and MATPOWER show that under the scenarios of different electric vehicle holdings,reasonable planning of the charging station layout can im-prove the economics of electric vehicle charging station location planning,which verifies the validity of the model,and provides a theoretical basis for the location planning of charging stations.关键词
充电站选址/Voronoi图方法/动态排队/负荷需求预测/粒子群优化算法Key words
location selection of charging station/Voronoi diagram method/dynamic queuing/load demand pre-diction/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
张智禹,王致杰,杨皖昊,张洪玮..基于充电需求预测的电动汽车充电站选址规划研究[J].电测与仪表,2024,61(10):39-49,11.基金项目
国家自然科学基金资助项目(61803253) （61803253）
上海市自然科学基金资助项目(15ZR1417300) （15ZR1417300）
