Work

Optimal Location of Electrical Vehicle Charging Stations With Both Self- and Valet-Charging Service

Year: 2023

Type: article

Abstract: Recently, electric vehicle (EV) charging assistance service has emerged for making EV charging more convenient to customers. In this paper, we consider an optimal EV charging station location problem with two types of clients. One is ordinary self-charging clients whereas the other is clients using a new service mode called valet-charging. We formulate the problem via bi-level location optimization model, where the lower level problem is a Nash game that models clients’ station choice behaviors. To solve this problem, we design an adaptive large neighborhood search (ALNS) algorithm for the upper level problem and a construct-improve heuristic for the lower level problem. We conduct simulated numerical experiments to justify the efficiency of our solution method. We also conduct a need-inspired case study to derive practical insights.

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2023.3321412

Authors: Tianyi Zhao, Na Li, Nan Kong, Xiaoqing Xie

Institutions: City University of Hong Kong, Shanghai Jiao Tong University, Purdue University West Lafayette, China Europe International Business School

Language: English

Topic: Electric Vehicles and Infrastructure

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

Funders: National Science Foundation, National Natural Science Foundation of China