Integrated Location, Sizing, and Pricing for EV Charging Stations

Miguel F. Anjos (), Ikram Bouras (), Luce Brotcorne (), Alemseged G. Weldeyesus (), Clémence Alasseur () and Riadh Zorgati ()
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Miguel F. Anjos: University of Edinburgh
Ikram Bouras: Centre Inria de l’Université de Lille
Luce Brotcorne: Centre Inria de l’Université de Lille
Alemseged G. Weldeyesus: University of Edinburgh
Clémence Alasseur: EDF R&D
Riadh Zorgati: EDF R&D

A chapter in Combinatorial Optimization and Applications, 2024, pp 431-448 from Springer

Abstract: Abstract We propose a bilevel optimization model to support decision-making about locating, sizing and pricing of electric vehicle (EV) charging stations by taking into account the behaviour of EV users. This is done by adopting a preference-list or rank-based approach that characterizes users by a set of distinct ordered sets of predefined preferences or products. In the upper-level, the charging service provider is in charge of making decisions on the location, size and pricing of the charging stations to maximize its profit. In the lower level, EV users select their first available charging stations from their preference lists. We solve the bilevel optimization problem using a KKT-based single-level reformulation and provide extensive managerial insights on a randomly generated set of problem instances.

Date: 2024
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DOI: 10.1007/978-3-031-57603-4_18

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