电测与仪表2025，Vol.62Issue(3)：1-9,9.DOI:10.19753/j.issn1001-1390.2025.03.001
考虑充电负荷时空分布特性的EV充电站规划
EV charging station planning considering spatial-temporal distribution characteristics of charging load
摘要
Abstract
Aiming at the problem of location and volume of electric vehicle(EV)charging stations,a planning model of EV charging station considering spatial-temporal distribution characteristics of charging load is proposed.Firstly,the spatial-temporal charging load prediction model of EV is established by dynamic Floyd algorithm com-bined with Latin hypercube sampling(LHS).Afterwards,from the perspective of considering user satisfaction and aiming at the minimum cost of both EV charging stations and users,Voronoi diagram and an adaptive simulated an-nealing particle swarm optimization algorithm(ASAPSO)are used to determine the service range,optimal number and location of charging stations,as well as the number of fast charging and slow charging pile configurations of each station.The EV charging station location and volume model is established.Finally,the effectiveness of the model is verified by planning some urban areas of a city in north China.关键词
EV充电站/时空充电负荷预测/选址定容/自适应模拟退火粒子群优化算法Key words
electric vehicle charging station/spatial-temporal charging load prediction/location and volume/adap-tive simulated annealing particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
左逸凡,李伟豪,杨伟..考虑充电负荷时空分布特性的EV充电站规划[J].电测与仪表,2025,62(3):1-9,9.基金项目
国家电网公司科技项目(JSDL-XLFW-SQ-2016-10-092) （JSDL-XLFW-SQ-2016-10-092）
