Electric Vehicle Charging Station Planning Based on Immune Algorithm and Voronoi Diagram

被引：0
|
作者：
Li, Yongjing [1 ]
Pei, Wenhui [1 ]
Xu, Di [1 ]
机构：
[1] Shandong Jiaotong Univ, Sch Informat Sci & Elect Engn, Jinan 250357, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国国家自然科学基金;
关键词：
Immune algorithm; Voronoi diagram; Charging station planning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the rapid development of electric vehicles, charging stations have become an important part of charging facilities. In this paper, based on the traditional P-median model and the maximum coverage model, a charging station site selection planning model is established. Then a method of location optimization is proposed, which combines the immune algorithm and the voronoi diagram. Finally, in order to obtain the optimal selection, we analyzed the voronoi diagram with the simulation results. This is a new method to optimize the location of charging stations by using advanced algorithms. The feasibility of the method is verified by an example.
引用
收藏
页码：1532 / 1537
页数：6
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