Charging station location problem of plug-in electric vehicles

被引：135
|
作者：
Zhu, Zhi-Hong [1 ]
Gao, Zi-You [1 ,2 ]
Zheng, Jian-Feng [3 ]
Du, Hao-Ming [1 ]
机构：
[1] Beijing Jiaotong Univ, Inst Syst Sci, Sch Traff & Transportat, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, Beijing 100044, Peoples R China
[3] Dalian Maritime Univ, Transportat Management Coll, Dalian 116026, Peoples R China
来源：
JOURNAL OF TRANSPORT GEOGRAPHY | 2016年 / 52卷
基金：
中国国家自然科学基金;
关键词：
Electric vehicles; Charging station; Location problem; Genetic algorithm; MODEL;
D O I：
10.1016/j.jtrangeo.2016.02.002
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
A novel model for the charging station location problem of plug-in electric vehicles is proposed in this paper. With the objective of minimizing the total cost, the proposed model simultaneously handles the problem of where to locate the charging stations and how many chargers should be established in each charging station. Furthermore, the model is expanded to consider a more general case. A genetic algorithm-based method is proposed for solving the expanded model. The results show that a better location scheme can be obtained using the expanded model. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：11 / 22
页数：12
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