郑州大学学报（理学版）2026，Vol.58Issue(2)：64-69,6.DOI:10.13705/j.issn.1671-6841.2024133
基于改进NSGA-Ⅱ算法的电动汽车充电站选址方法
A Location Selection Method of Charging Station for Electric Vehicles Based on Improved NSGA-Ⅱ Algorithm
摘要
Abstract
The strategic placement of electric vehicle charging stations is of utmost importance in the ad-vancement of electric vehicles.The unreasonable arrangement of charging stations could result in in-creased expenses of operators and diminished satisfaction of users.To tackle these challenges,a syntheti-cal model was constructed to quantify total operating cost and user satisfaction of charging stations.In this model,the total operator costs were segmented into land cost,construction cost,operating cost and gov-ernment subsidy.The user satisfaction was quantified by charging distance and waiting time.The im-proved non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)was designed to address the multi-objec-tive optimization model.The solution solved the problem of minimizing the operating cost and maximizing the user satisfaction with the constraints of remaining power,charging distance,and the quantity of char-ging piles.In the end,Jiangbei was taken as a case study to simulate the location selection of electric ve-hicle charging stations,confirming the efficacy of the proposed approach.关键词
电动汽车/充电站选址/多目标模型/改进NSGA-Ⅱ算法Key words
electric vehicle/charging station site selection/multi-objective model/improved NSGA-Ⅱ algorithm分类
交通工程引用本文复制引用
俞宁,冯鑫,汤爱华,舒梓荣..基于改进NSGA-Ⅱ算法的电动汽车充电站选址方法[J].郑州大学学报（理学版）,2026,58(2):64-69,6.基金项目
国家自然科学基金面上项目(52277213) （52277213）
重庆市教委科学技术研究计划重点项目(KJZD-K202201103) （KJZD-K202201103）
