期刊
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
卷 158, 期 -, 页码 6582-6588出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.egypro.2019.01.071
关键词
EV; public charging start ions; optimal location; GIS; MILP
资金
- China Scholarship Council (CSC)
- School of Business, Society and Engineering, Malardalen University (MDH), Sweden
Electric Vehicles (EVs) have achieved a significant development because of the continuous technology revolution and policy supports in recent years, which leads to a larger demand of charging stations. Strategies about how to find the optimal location for charging facilities are urgently needed in order to further assist the development of EVs. This paper focus on the return of investments on EV charging stations and proposes a Mixed Integer Linear Programming (MILP) model based on Geographic Information System (GIS) to identify the optimal location of charging stations in cities. Traffic flow data and land-use classifications are used as important inputs, and six important constraints are included in the MILP model with the objective function of maximizing the total profits of new charging stations. The effectiveness of the proposed method is then demonstrated by implementing a case study in Vasteras, Sweden. (C) 2019 The Authors. Published by Elsevier Ltd.
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