Integrated Location, Sizing, and Pricing for EV Charging Stations

Miguel F. Anjos*, Ikram Bouras, Luce Brotcorne, Alemseged G. Weldeyesus, Clémence Alasseur, Riadh Zorgati

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

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.

Original languageEnglish
Title of host publicationCombinatorial Optimization and Applications
EditorsTeodor Gabriel Crainic, Michel Gendreau, Antonio Frangioni
PublisherSpringer Cham
Pages431-448
Number of pages18
ISBN (Electronic)978-3-031-57603-4
ISBN (Print)978-3-031-57602-7
DOIs
Publication statusPublished - 28 Jun 2024

Publication series

NameInternational Series in Operations Research and Management Science
Volume358
ISSN (Print)0884-8289
ISSN (Electronic)2214-7934

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