Optimizing the location of multi-type charging facilities considering heterogeneous travelers

被引：0
作者：
Zou Y. [1 ]
Liu H. [1 ]
Long J. [1 ,2 ]
机构：
[1] School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei
[2] Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2020年 / 40卷 / 11期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Battery electric vehicle; Charging facility allocation; Multiclass user equilibrium; Plug-in charging; Wireless charging;
D O I：
10.12011/1000-6788-2019-2610-12
中图分类号：
学科分类号：
摘要：
This paper investigates the deployment optimization of multi-type electric vehicle charging facilities on road networks with investment budget constraint. Two types of charging facilities are considered: The traditional static plug-in charging facilities and the dynamic wireless charging facilities. A new type of electric vehicle, which is compatible with both plug-in charging and wireless charging facilities, and multi-class of travelers with different values of time are considered in the paper. The studied optimization problem is formulated as a bi-level model. The upper-level model determines the location and type of charging facilities to minimize the total system travel cost, which represents the government's decisionmaking process with given investment budget. The lower-level model adopts a multi-class user equilibrium (UE) problem to describe the interaction between the traffic assignment on the road network and the deployment of the charging facilities. A modified surrogate-model-based algorithm for mixed-integer problem (MSO-MI) is developed to solve the proposed bi-level model. The double projection algorithm is embedded in MSO-MI to solve the lower-level multi-class UE problem. Numerical examples are developed to illustrate the performance of the proposed model and MSO-MI algorithm. © 2020, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
引用
收藏
页码：2946 / 2957
页数：11
相关论文
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