This paper addresses the energy management of a grid-connected photovoltaic plant coupled with a battery energy storage device, within the capacity firming specifications of the French Energy Regulatory Commission. The paper contributions are positioned in the continuity of the studies adopting stochastic models for optimizing the bids of renewable energy sources in a day-Ahead market by considering a storage device. The proposed deterministic and stochastic approaches are optimization problems formulated as quadratic problems with linear constraints. The case study is a real microgrid with PV production monitored on site. The results demonstrate the validity of the stochastic formulation by using an ideal predictor that produces unbiased PV scenarios.

Dumas, J., Cornelusse, B., Giannitrapani, A., Paoletti, S., & Vicino, A. (2020). Stochastic and deterministic formulations for capacity firming nominations. In 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings. New York : Institute of Electrical and Electronics Engineers Inc. [10.1109/PMAPS47429.2020.9183646].

Stochastic and deterministic formulations for capacity firming nominations

Giannitrapani A.;Paoletti S.;Vicino A.
2020

Abstract

This paper addresses the energy management of a grid-connected photovoltaic plant coupled with a battery energy storage device, within the capacity firming specifications of the French Energy Regulatory Commission. The paper contributions are positioned in the continuity of the studies adopting stochastic models for optimizing the bids of renewable energy sources in a day-Ahead market by considering a storage device. The proposed deterministic and stochastic approaches are optimization problems formulated as quadratic problems with linear constraints. The case study is a real microgrid with PV production monitored on site. The results demonstrate the validity of the stochastic formulation by using an ideal predictor that produces unbiased PV scenarios.
978-1-7281-2822-1
978-1-7281-2823-8
Dumas, J., Cornelusse, B., Giannitrapani, A., Paoletti, S., & Vicino, A. (2020). Stochastic and deterministic formulations for capacity firming nominations. In 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings. New York : Institute of Electrical and Electronics Engineers Inc. [10.1109/PMAPS47429.2020.9183646].
File in questo prodotto:
File Dimensione Formato  
09183646.pdf

non disponibili

Tipologia: PDF editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 264.34 kB
Formato Adobe PDF
264.34 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: http://hdl.handle.net/11365/1118450