This paper presents an extension of a recently introduced multistage stochastic integer model designed for optimizing the deployment of charging stations under uncertainty. A key contribution of this work is incorporating additional constraints accounting for congestion management at charging stations. The solution approach combines a greedy heuristic with a branch-and-price algorithm, enabling the efficient handling of medium instances. In the branch-and-price algorithm, when the solution to the restricted master problem is not integer, a greedy heuristic and a local search procedure are conducted to obtain feasible solutions. Computational experiments illustrate the effectiveness of the proposed framework.
@article{arxiv.2412.19689,
title = {Electric Vehicle Charging Network Design under Congestion},
author = {Antoine Deza and Kai Huang and Carlos Aníbal Suárez},
journal= {arXiv preprint arXiv:2412.19689},
year = {2025}
}