The increased penetration of plug-in electric vehicles asks for efficient algorithms to be adopted in parking lots equipped with charging units. In this paper, the peak power minimization problem for a plug-in charging station is addressed. A chance constraint approach is adopted in order to minimize the daily peak power, allowing for a tolerance on the charging service customer satisfaction expressing the probability that a vehicle leaves the station violating the agreed level of charge. Numerical simulations are provided to evaluate the performance of the proposed approach as well as to make a comparison with other techniques.

Casini, M., Vicino, A., Zanvettor, G.G. (2021). A chance constraint approach to peak mitigation in electric vehicle charging stations. AUTOMATICA, 131 [10.1016/j.automatica.2021.109746].

A chance constraint approach to peak mitigation in electric vehicle charging stations

Casini M.
;
Vicino A.;Zanvettor G. G.
2021

Abstract

The increased penetration of plug-in electric vehicles asks for efficient algorithms to be adopted in parking lots equipped with charging units. In this paper, the peak power minimization problem for a plug-in charging station is addressed. A chance constraint approach is adopted in order to minimize the daily peak power, allowing for a tolerance on the charging service customer satisfaction expressing the probability that a vehicle leaves the station violating the agreed level of charge. Numerical simulations are provided to evaluate the performance of the proposed approach as well as to make a comparison with other techniques.
Casini, M., Vicino, A., Zanvettor, G.G. (2021). A chance constraint approach to peak mitigation in electric vehicle charging stations. AUTOMATICA, 131 [10.1016/j.automatica.2021.109746].
File in questo prodotto:
File Dimensione Formato  
PEV_Peak_CC_Published.pdf

non disponibili

Tipologia: PDF editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 782.82 kB
Formato Adobe PDF
782.82 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1178614