Highways are one of the main locations where installing an Electric Vehicle Charging Station (EVCS) is crucial. This paper introduces a novel concept to overcome the main challenge in this regard, which is the lack of enough electrical transmission systems close to the roads. The main idea is to leverage surplus power generated from nearby tunnels that have exclusive power supply. By capitalizing on excess power from the tunnel infrastructure, this study explores the feasibility of ultra-fast EVCSs facilities. The research investigates contingent upon the available power supply, with dual objectives: foremost, to optimize the accommodation capacity for EVs at the charging station, and secondly, to minimize the wait times for charging sessions. Employing advanced scheduling algorithms and mathematical optimization techniques, the study delineates optimal self-scheduling strategies for managing the charging infrastructure efficiently. This research contributes insights into the potential synergies of transportation infrastructure for the development of robust and efficient EVCSs along highways.

Optimal Self-Scheduling for Fast EV Charging Station on Highway: A Tunnel Case Study / Shirdare, Erfan; Kermani, Mostafa; Martirano, Luigi; Moscatiello, Cristina; Calcara, Luigi; De Nigris, Daniela; Bianchi, Giuseppe; Cerani, Carlotta; Distante, Vito. - (2024), pp. 1-5. ( 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 Rome; Italy ) [10.1109/eeeic/icpseurope61470.2024.10751594].

Optimal Self-Scheduling for Fast EV Charging Station on Highway: A Tunnel Case Study

Kermani, Mostafa;Martirano, Luigi;Moscatiello, Cristina;Calcara, Luigi;Bianchi, Giuseppe;
2024

Abstract

Highways are one of the main locations where installing an Electric Vehicle Charging Station (EVCS) is crucial. This paper introduces a novel concept to overcome the main challenge in this regard, which is the lack of enough electrical transmission systems close to the roads. The main idea is to leverage surplus power generated from nearby tunnels that have exclusive power supply. By capitalizing on excess power from the tunnel infrastructure, this study explores the feasibility of ultra-fast EVCSs facilities. The research investigates contingent upon the available power supply, with dual objectives: foremost, to optimize the accommodation capacity for EVs at the charging station, and secondly, to minimize the wait times for charging sessions. Employing advanced scheduling algorithms and mathematical optimization techniques, the study delineates optimal self-scheduling strategies for managing the charging infrastructure efficiently. This research contributes insights into the potential synergies of transportation infrastructure for the development of robust and efficient EVCSs along highways.
2024
24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024
Charging Station; EVs; Optimal Self-Scheduling
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Optimal Self-Scheduling for Fast EV Charging Station on Highway: A Tunnel Case Study / Shirdare, Erfan; Kermani, Mostafa; Martirano, Luigi; Moscatiello, Cristina; Calcara, Luigi; De Nigris, Daniela; Bianchi, Giuseppe; Cerani, Carlotta; Distante, Vito. - (2024), pp. 1-5. ( 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 Rome; Italy ) [10.1109/eeeic/icpseurope61470.2024.10751594].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1746722
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