The paper proposes a tool for the optimal sizing of an end user's battery energy storage system. The sizing is performed considering demand response applications with real time energy prices. The procedure, which takes into account also the battery degradation due to some stress factors, is performed based on uncertainties of generation, load, weather conditions, discount rate and energy price. Particularly, the sizing of the storage device is aimed at maximizing the economic benefit of the end user.
Planning of Battery Energy Storage Systems Accounting for Uncertainties and Degradation / Carpinelli, Guido; Mottola, Fabio; Proto, Daniela. - (2019), pp. 213-218. (Intervento presentato al convegno 5th International Forum on Research and Technologies for Society and Industry, RTSI 2019 tenutosi a ita nel 2019) [10.1109/RTSI.2019.8895513].
Planning of Battery Energy Storage Systems Accounting for Uncertainties and Degradation
Carpinelli, Guido;Mottola, Fabio;Proto Daniela
2019
Abstract
The paper proposes a tool for the optimal sizing of an end user's battery energy storage system. The sizing is performed considering demand response applications with real time energy prices. The procedure, which takes into account also the battery degradation due to some stress factors, is performed based on uncertainties of generation, load, weather conditions, discount rate and energy price. Particularly, the sizing of the storage device is aimed at maximizing the economic benefit of the end user.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
