An optimization methodology for self-consumption of residential photovoltaic energy
| Autor: | Loris Amabile, Delphine Bresch-Pietri, Nicolas Petit, Gilbert El Hajje, Sébastien Labbe |
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| Přispěvatelé: | Technologies et Recherche pour l'Efficacité Energétique (EDF R&D TREE), EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Centre Automatique et Systèmes (CAS), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), EDF (EDF) |
| Rok vydání: | 2020 |
| Předmět: |
Industrial applications of optimization
0209 industrial biotechnology Mathematical optimization Computer science 020208 electrical & electronic engineering Photovoltaic system Time horizon 02 engineering and technology Smart Grids 7. Clean energy Modeling and simulation of power system [SPI.AUTO]Engineering Sciences [physics]/Automatic Power (physics) Energy management system Energy Management System 020901 industrial engineering & automation Smart grid Control and Systems Engineering Self consumption 0202 electrical engineering electronic engineering information engineering Focus (optics) Energy (signal processing) Energy Control and Optimization |
| Zdroj: | IFAC 2020 World Congress IFAC 2020 World Congress, Jul 2020, Virtuel, Germany HAL |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2020.12.145 |
| Popis: | International audience; This paper considers the optimization of the self-consumed power locally produced by residential photovoltaic panels. We focus on a simplified setup where only the Electric Water Heater (EWH) is regulated, while the rest of the appliances represents an uncontrollable load. We formulate an unconstrained optimization problem by inverting the EWH dynamics and prove that the corresponding objective function is continuously differentiable. Thanks to an explicit characterization of its critical points, we propose a tailored and computationally efficient optimization algorithm. Simulations performed in Dymola over a one-year time horizon allow us to demonstrate the merits and performances of the proposed method. |
| Databáze: | OpenAIRE |
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