A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty
Systems and Control
2025-02-07 v1 Systems and Control
Abstract
In this paper, we propose a robust optimization model that addresses both the cost-efficiency and fast charging requirements for electric vehicles (EVs) at charging stations. By combining elements from traditional cost-minimization models and a fast charging objective, we construct an optimization model that balances user costs with rapid power allocation. Additionally, we incorporate L2-norm uncertainty into the charging cost, ensuring that the model remains resilient under cost fluctuations. The proposed model is tested under real-world scenarios and demonstrates its potential for efficient and flexible EV charging solutions.
Cite
@article{arxiv.2502.04024,
title = {A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty},
author = {Trung Duc Tran and Ngoc-Doanh Nguyen and Hong T. M. Chu and Laurent El Ghaoui and Luca Ambrosino and Giuseppe Calafiore},
journal= {arXiv preprint arXiv:2502.04024},
year = {2025}
}
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