Location of electric vehicle charging stations: A perspective using the grey decision-making model

Xianqiang Ren, Huiming Zhang, Ruohan Hu and Yueming Qiu

Energy, 2019, vol. 173, issue C, 548-553

Abstract: the reasonable location of a charging station will promote the rapid development of the new energy automobile industry. This paper initially establishes the location model of minimizing the total social cost with the purpose of a genetic algorithm solution. Next, an evaluation index system is constructed based on five location influencing factors; land cost, construction costs, road traffic flow, power grid conditions and the surrounding environment. Numerical studies show that both grey incidence decision and grey target theory have the advantages of ease of operation, low requirement of data collection and processing when they are employed while selecting the optimal location.

Keywords: Electric vehicle; Location; Genetic algorithm; Grey decision-making (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (21)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:173:y:2019:i:c:p:548-553

DOI: 10.1016/j.energy.2019.02.015

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