Capacity firming; energy market; stochastic optimization; energy management; photovoltaic system
Abstract :
[en] 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.
Disciplines :
Energy Computer science
Author, co-author :
Dumas, Jonathan ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart-Microgrids
Cornélusse, Bertrand ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart-Microgrids
Giannitrapani, Antonello; Università degli Studi di Siena > Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche
Paoletti, Simone; Università degli Studi di Siena > Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche
Vicino, Antonio; Università degli Studi di Siena > Dipartimento di Ingegneria dell’Informazione e Scienze Matematiche
Language :
English
Title :
Stochastic and deterministic formulations for capacity firming nominations
Publication date :
August 2020
Event name :
2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Event place :
Liège, Belgium
Event date :
18/08/2020 - 21/08/2020
By request :
Yes
Audience :
International
Main work title :
2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
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