Electric Vehicle Charging Network Design under Congestion

TL;DR

This paper extends a stochastic model for EV charging station deployment by including congestion constraints and proposes a combined heuristic and branch-and-price solution method, demonstrating its effectiveness through computational experiments.

Contribution

It introduces congestion management constraints into a multistage stochastic model for EV charging network design and develops an efficient solution approach.

Findings

Effective handling of congestion constraints

Successful application of combined heuristic and branch-and-price methods

Demonstrated computational efficiency on medium instances

Abstract

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.