An economic study of control strategies for microgrids
| Autor: | Ahmad Hably, Ahmad Elrafhi, Seddik Bacha, Khaled Hajar |
|---|---|
| Přispěvatelé: | GIPSA - Systèmes non linéaires et complexité (GIPSA-SYSCO), Département Automatique (GIPSA-DA), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire de Génie Electrique de Grenoble (G2ELab), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Université de Technologie et des Sciences Appliquées libano-française [Liban] (ULF) |
| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
Control algorithm Computer science Energy management 020209 energy Load modeling 020208 electrical & electronic engineering [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine 02 engineering and technology Grid 7. Clean energy Energy storage [SPI.AUTO]Engineering Sciences [physics]/Automatic Prediction algorithms Model predictive control 0202 electrical engineering electronic engineering information engineering MATLAB computer ComputingMilieux_MISCELLANEOUS computer.programming_language |
| Zdroj: | International Conference on Renewable Energies for Developing countries (REDEC 2018) International Conference on Renewable Energies for Developing countries (REDEC 2018), Nov 2018, Beyrouth, Lebanon. ⟨10.1109/REDEC.2018.8598121⟩ |
| Popis: | A centralized model predictive control algorithm (MPCA) and an optimal centralized control algorithm (OCCA) are applied on main grid connected with a group of interconnected microgrids (MGs). Maximizing the profit for all of the units constituting the MGs is the primary objective in both algorithms, further the advantages of the principle grid. A forcasting information about production power, energy price and loads is needed for the application of MPCA in our study. five interconnected MGs related to the principle grid are tested in this paper using the algorithm implemented in MATLAB. The performance of the proposed algorithms has been shown especially for the benefits of MG owners at the same time as respecting the constraints associated to every considered one of them. Then the results of OCCA and MPCA are compared technically and economically for each MG. |
| Databáze: | OpenAIRE |
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