Optimizing electric vehicles charging through smart energy allocation and cost-saving
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916392816607232 |
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| author | Ambrosino, Luca Calafiore, Giuseppe Nguyen, Khai Manh Zorgati, Riadh Nguyen-Ngoc, Doanh Ghaoui, Laurent El |
| author_facet | Ambrosino, Luca Calafiore, Giuseppe Nguyen, Khai Manh Zorgati, Riadh Nguyen-Ngoc, Doanh Ghaoui, Laurent El |
| contents | As the global focus on combating environmental pollution intensifies, the transition to sustainable energy sources, particularly in the form of electric vehicles (EVs), has become paramount. This paper addresses the pressing need for Smart Charging for EVs by developing a comprehensive mathematical model aimed at optimizing charging station management. The model aims to efficiently allocate the power from charging sockets to EVs, prioritizing cost minimization and avoiding energy waste. Computational simulations demonstrate the efficacy of the mathematical optimization model, which can unleash its full potential when the number of EVs at the charging station is high. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_08638 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimizing electric vehicles charging through smart energy allocation and cost-saving Ambrosino, Luca Calafiore, Giuseppe Nguyen, Khai Manh Zorgati, Riadh Nguyen-Ngoc, Doanh Ghaoui, Laurent El Optimization and Control Systems and Control As the global focus on combating environmental pollution intensifies, the transition to sustainable energy sources, particularly in the form of electric vehicles (EVs), has become paramount. This paper addresses the pressing need for Smart Charging for EVs by developing a comprehensive mathematical model aimed at optimizing charging station management. The model aims to efficiently allocate the power from charging sockets to EVs, prioritizing cost minimization and avoiding energy waste. Computational simulations demonstrate the efficacy of the mathematical optimization model, which can unleash its full potential when the number of EVs at the charging station is high. |
| title | Optimizing electric vehicles charging through smart energy allocation and cost-saving |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2409.08638 |