Robust Hybrid Control for Demand Side Management in Islanded Microgrids
| Autor: | Miguel A. Ridao, Carlos Bordons, Carolina Albea |
|---|---|
| Přispěvatelé: | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática, Agence Nationale de la Recherche (ANR), Agencia Estatal de Investigación. España, Junta de Andalucía, Équipe Méthodes et Algorithmes en Commande (LAAS-MAC), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Departamento de Ingenieria de Sistemas y Automatica [Sevilla] (ISA), PID2019-105890RJ-I00/AEI/10.13039/501100011033 (Project HYCAM) and by the local Ministry of Economy and Knowledge of Andalusia under grant US-1265917 (Project GESVIP)., ANR-18-CE40-0022,HISPALIS,Systèmes multi-agents hybrides auto-ajustés pour microgrids(2018), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées |
| Rok vydání: | 2021 |
| Předmět: |
Battery (electricity)
General Computer Science Demanded side management Computer science Plug and play 020209 energy Multi-agent system Islanded microgrid Multi-agent systems 020206 networking & telecommunications 02 engineering and technology Hybrid dynamical systems 7. Clean energy Multi-Agent Systems Hybrid Dynamical Systems Demand response State of charge Robustness (computer science) Control theory [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering Convergence (routing) 0202 electrical engineering electronic engineering information engineering Microgrid Demanded Side Management |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname IEEE Transactions on Smart Grid IEEE Transactions on Smart Grid, 2021, 12 (6), pp.4865-4875. ⟨10.1109/TSG.2021.3101875⟩ IEEE Transactions on Smart Grid, Institute of Electrical and Electronics Engineers, 2021, 12 (6), pp.4865-4875. ⟨10.1109/TSG.2021.3101875⟩ |
| ISSN: | 1949-3053 1949-3061 |
| Popis: | This paper focuses on designing a robust control law to manage the demand response of islanded microgrids composed of shifting and adjusting loads. On one side, Hybrid Dynamical System theory is suited here, because the microgrid model is composed of continuous-time dynamics (the energy stored in the battery and the adjustable loads), and discrete-time dynamics (the shifting loads). On the other side, Multi Agent System theory is used to control the adjusting loads in order to guarantee a consensus between them. Hence, non-uniform convergence of the State of Charge of the battery to a given reference is ensured. Robustness with respect to plug and play of any load and parameter variations is also ensured. Experimental results from a laboratory-scale microgrid validate the approach. Agencia Nacional de Investigación Francesa (ANR) ANR-18-CE40-0022-01 Agencia Estatal de Investigación PID2019-105890RJI00 Agencia Estatal de Investigación AEI/10.13039/501100011033 Consejería de Economía y Conocimiento de Andalucía US-1265917 |
| Databáze: | OpenAIRE |
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