Stochastic and deterministic formulations for capacity firming nominations
| Autor: | Antonio Vicino, Antonello Giannitrapani, Bertrand Cornélusse, Jonathan Dumas, Simone Paoletti |
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| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Optimization problem energy management Stochastic modelling Computer science Energy management 020209 energy 02 engineering and technology Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control 020901 industrial engineering & automation Quadratic equation energy market Capacity firming photovoltaic system stochastic optimization 0202 electrical engineering electronic engineering information engineering FOS: Mathematics FOS: Electrical engineering electronic engineering information engineering Mathematics - Optimization and Control business.industry Photovoltaic system Renewable energy Optimization and Control (math.OC) Microgrid business Energy (signal processing) |
| DOI: | 10.48550/arxiv.2106.02425 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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