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.
Optimizing electric vehicles charging through smart energy allocation and cost-saving / Ambrosino, Luca; Calafiore, Giuseppe; Nguyen, Khai Manh; Zorgati, Riadh; Nguyen-Ngoc, Doanh; El Ghaoui, Laurent. - (2024), pp. 59-64. (Intervento presentato al convegno 11th International Conference on "Energy, Sustainability and Climate Crisis" - ESCC 2024 tenutosi a Corfù (Gr) nel August 26-30, 2024.).
Optimizing electric vehicles charging through smart energy allocation and cost-saving
Ambrosino, Luca;Calafiore, Giuseppe;
2024
Abstract
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.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2996790