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
Language :
English
Title :
Presentation of Stochastic and deterministic formulations for capacity firming nominations
Publication date :
August 2020
Event name :
16th International Conference on Probabilistic Methods Applied to Power Systems
Event date :
18/08/2020 - 21/08/2020
By request :
Yes
Audience :
International
References of the abstract :
Dumas, Jonathan, et al. "Stochastic and deterministic formulations for capacity firming nominations." (2020).
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