Electric Vehicle Charging Network Design under Congestion

2024/12/27 by Antoine Deza, Kai Huang, Deza, Antoine +3
Engineering · #Electric Vehicles and Infrastructure #Advanced Battery Technologies Research

paper · pdf · doi:10.48550/arxiv.2412.19689

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.

Related

• A Stochastic Programming Approach for Electric Vehicle Charging Network Design
• Sequential Charging Station Location Optimization under Uncertain Charging Behavior and User Growth
• A Game-theoretic Approach for Dynamic Service Scheduling at Charging Facilities
• An Exact Solution Algorithm for the Bi-Level Optimization Problem of Electric Vehicles Charging Station Placement
• Extreme-Scale EV Charging Infrastructure Planning for Last-Mile Delivery Using High-Performance Parallel Computing