Location analysis of electric vehicle charging stations for maximum capacity and coverage

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Bayram, I. Safak and Bayhan, Sertac; (2020) Location analysis of electric vehicle charging stations for maximum capacity and coverage. In: 2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) . IEEE, PRT, pp. 409-414. ISBN 978-1-7281-4218-0 (https://doi.org/10.1109/CPE-POWERENG48600.2020.916...)

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Abstract

Electric vehicle charging facility location is a critical component of long-term strategic planning. Integration of electric vehicles into mainstream adoption has unique characteristics as it requires a careful investigation of both electric and transportation networks. In this paper, we provide an overview of recent approaches in location analyses of electric vehicle charging infrastructures. We review approaches from classical operations research for fast and slow charging stations. Sample formulations along with case studies are presented to provide insights. We discuss that classical methods are appropriate to address the coverage of charging networks which is defined as average time or distance to reach a charging station when needed. On the other hand, calculating required capacity, defined as the individual charging resources at each node, is still an open research topic. In the final part, we present stochastic facility location theory that uses queuing and other probabilistic approaches.

ORCID iDs

Bayram, I. Safak ORCID logoORCID: https://orcid.org/0000-0001-8130-5583 and Bayhan, Sertac;
CORE (COnnecting REpositories)