A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866917915039629312 |
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| author | Tran, Trung Duc Nguyen, Ngoc-Doanh Chu, Hong T. M. Ghaoui, Laurent El Ambrosino, Luca Calafiore, Giuseppe |
| author_facet | Tran, Trung Duc Nguyen, Ngoc-Doanh Chu, Hong T. M. Ghaoui, Laurent El Ambrosino, Luca Calafiore, Giuseppe |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_04024 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty Tran, Trung Duc Nguyen, Ngoc-Doanh Chu, Hong T. M. Ghaoui, Laurent El Ambrosino, Luca Calafiore, Giuseppe Systems and Control 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. |
| title | A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2502.04024 |