Demand response is expected to play a fundamental role in providing flexibility for balancing operations to the grid. On the other hand, the fast electrification of the transportation sector calls for new solutions to enforce safe and reliable grid operation. Here we consider an electric vehicle charging station that participates in demand response programs. The demand response program asks for a change of the charging station load profile in exchange for a monetary reward. A stochastic receding horizon scheme that exploits the charging flexibility is then designed to optimally coordinate vehicle charging. Numerical simulations show that the proposed approach ensures substantial cost reduction compared to simpler benchmarks while maintaining the computation time feasible for real-world applications.

Zanvettor, G.G., Fochesato, M., Casini, M., Vicino, A. (2023). A Receding Horizon Scheme for EV Charging Stations in Demand Response Programs. In Proceedings of the IEEE Conference on Decision and Control (pp.3130-3135). New York : IEEE [10.1109/CDC49753.2023.10383725].

A Receding Horizon Scheme for EV Charging Stations in Demand Response Programs

Zanvettor G. G.
;
Casini M.;Vicino A.
2023-01-01

Abstract

Demand response is expected to play a fundamental role in providing flexibility for balancing operations to the grid. On the other hand, the fast electrification of the transportation sector calls for new solutions to enforce safe and reliable grid operation. Here we consider an electric vehicle charging station that participates in demand response programs. The demand response program asks for a change of the charging station load profile in exchange for a monetary reward. A stochastic receding horizon scheme that exploits the charging flexibility is then designed to optimally coordinate vehicle charging. Numerical simulations show that the proposed approach ensures substantial cost reduction compared to simpler benchmarks while maintaining the computation time feasible for real-world applications.
2023
979-8-3503-0124-3
Zanvettor, G.G., Fochesato, M., Casini, M., Vicino, A. (2023). A Receding Horizon Scheme for EV Charging Stations in Demand Response Programs. In Proceedings of the IEEE Conference on Decision and Control (pp.3130-3135). New York : IEEE [10.1109/CDC49753.2023.10383725].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1256016