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Location Planning of Electric Vehicles Charging Stations

Location Planning of Electric Vehicles Charging Stations

Elnaz Moein
Copyright: © 2020 |Pages: 29
ISBN13: 9781522595700|ISBN10: 1522595708|EISBN13: 9781522595724
DOI: 10.4018/978-1-5225-9570-0.ch029
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MLA

Moein, Elnaz. "Location Planning of Electric Vehicles Charging Stations." Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains, edited by Anjali Awasthi and Katarzyna Grzybowska, IGI Global, 2020, pp. 623-651. https://doi.org/10.4018/978-1-5225-9570-0.ch029

APA

Moein, E. (2020). Location Planning of Electric Vehicles Charging Stations. In A. Awasthi & K. Grzybowska (Eds.), Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains (pp. 623-651). IGI Global. https://doi.org/10.4018/978-1-5225-9570-0.ch029

Chicago

Moein, Elnaz. "Location Planning of Electric Vehicles Charging Stations." In Handbook of Research on Interdisciplinary Approaches to Decision Making for Sustainable Supply Chains, edited by Anjali Awasthi and Katarzyna Grzybowska, 623-651. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9570-0.ch029

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Abstract

In this chapter, the authors address the problem of location planning of recharging stations for electric vehicles. This involves determining the best locations for charging stations in order to ensure that vehicles are charged enough for rendering a service when needed. The problem objective is to maximize the flow coverage for the electric vehicles through optimizing the number of recharging stations and their specific type at each station. Flow coverage is referred to as the ratio of car flows that are covered with regard to a special budget level. It also tries to minimize the locating cost related to these infrastructures. A genetic algorithm-based approach is proposed. Numerical application is provided, and results compared against branch and cut algorithm. The proposed approach performs better.

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