Optimal Placement of EV Charging Stations Based on Genetic Algorithm

被引:0
作者
Du, Yang [1 ]
Li, Xiaohui
Mao, Shanli [2 ]
Cai, Bin [1 ]
He, Jie [1 ]
Nie, Wei [3 ]
机构
[1] Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan, Peoples R China
[2] Wuhan Netizen Technol Co Ltd, Res Ctr, Wuhan, Peoples R China
[3] Shenglong Elect Grp Co Ltd, Res Ctr, Wuhan, Peoples R China
来源
PROCEEDINGS OF THE 36TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC 2024 | 2024年
关键词
electric vehicle charging station; optimal placement; comprehensive cost; genetic algorithm;
D O I
10.1109/CCDC62350.2024.10587625
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Under the influence of the energy crisis and global warming, electric vehicles have been recognized by people all over the world as clean energy vehicles. However, the rapid growth of electric vehicles has brought challenges to electric vehicle charging station placement. To solve the optimal placement problem of electric vehicle charging stations, this paper proposes a kind of method for electric vehicle charging station placement by using genetic algorithm optimization. In the proposed method, the comprehensive cost of electric vehicle charging stations is defined first. Then, the placement of electric vehicle charging stations is optimized by minimizing the comprehensive cost of electric vehicle charging stations. Finally, the optimal location of charging stations and capacity of charging stations is determined by using genetic algorithm optimization. The simulation results show that the proposed method can give the optimal location and capacity of charging stations based on the real road map.
引用
收藏
页码:5721 / 5726
页数:6
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