Model Predictive Control for Microgrid Functionalities: Review and Future Challenges
Renewable generation and energy storage systems are technologies which evoke the future energy paradigm. While these technologies have reached their technological maturity, the way they are integrated and operated in the future smart grids still presents several challenges. Microgrids appear as a ke...
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Format: | Article |
Language: | English |
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MDPI AG
2021-02-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/14/5/1296 |
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author | Felix Garcia-Torres Ascension Zafra-Cabeza Carlos Silva Stephane Grieu Tejaswinee Darure Ana Estanqueiro |
author_facet | Felix Garcia-Torres Ascension Zafra-Cabeza Carlos Silva Stephane Grieu Tejaswinee Darure Ana Estanqueiro |
author_sort | Felix Garcia-Torres |
collection | DOAJ |
description | Renewable generation and energy storage systems are technologies which evoke the future energy paradigm. While these technologies have reached their technological maturity, the way they are integrated and operated in the future smart grids still presents several challenges. Microgrids appear as a key technology to pave the path towards the integration and optimized operation in smart grids. However, the optimization of microgrids considered as a set of subsystems introduces a high degree of complexity in the associated control problem. Model Predictive Control (MPC) is a control methodology which has been satisfactorily applied to solve complex control problems in the industry and also currently it is widely researched and adopted in the research community. This paper reviews the application of MPC to microgrids from the point of view of their main functionalities, describing the design methodology and the main current advances. Finally, challenges and future perspectives of MPC and its applications in microgrids are described and summarized. |
first_indexed | 2024-03-09T00:29:15Z |
format | Article |
id | doaj.art-43f06c4712704986af08b48659160bdb |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-09T00:29:15Z |
publishDate | 2021-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-43f06c4712704986af08b48659160bdb2023-12-11T18:38:50ZengMDPI AGEnergies1996-10732021-02-01145129610.3390/en14051296Model Predictive Control for Microgrid Functionalities: Review and Future ChallengesFelix Garcia-Torres0Ascension Zafra-Cabeza1Carlos Silva2Stephane Grieu3Tejaswinee Darure4Ana Estanqueiro5Application Unit, Centro Nacional del Hidrogeno, 13500 Puertollano, Ciudad Real, SpainDepartment of Systems Engineering and Automatic Control, Universidad de Sevilla, 41092 Sevilla, SpainIN+ Center for Innovation, Technology and Policy Research, Mechanical Engineering Department, Instituto Superior Técnico (IST), Universidade de Lisboa, 1049-001 Lisbon, PortugalProcesses, Materials and Solar Energy (PROMES-CNRS) Laboratory, University of Perpignan Via Domitia, 66100 Perpignan, FranceProcesses, Materials and Solar Energy (PROMES-CNRS) Laboratory, University of Perpignan Via Domitia, 66100 Perpignan, FranceUnidade de Energias Renováveis e Eficiência Energética, Laboratorio Nacional de Energia e Geologia, 1649-038 Lisbon, PortugalRenewable generation and energy storage systems are technologies which evoke the future energy paradigm. While these technologies have reached their technological maturity, the way they are integrated and operated in the future smart grids still presents several challenges. Microgrids appear as a key technology to pave the path towards the integration and optimized operation in smart grids. However, the optimization of microgrids considered as a set of subsystems introduces a high degree of complexity in the associated control problem. Model Predictive Control (MPC) is a control methodology which has been satisfactorily applied to solve complex control problems in the industry and also currently it is widely researched and adopted in the research community. This paper reviews the application of MPC to microgrids from the point of view of their main functionalities, describing the design methodology and the main current advances. Finally, challenges and future perspectives of MPC and its applications in microgrids are described and summarized.https://www.mdpi.com/1996-1073/14/5/1296microgridsmodel predictive controlelectric marketsflexibilityresilencebuildings |
spellingShingle | Felix Garcia-Torres Ascension Zafra-Cabeza Carlos Silva Stephane Grieu Tejaswinee Darure Ana Estanqueiro Model Predictive Control for Microgrid Functionalities: Review and Future Challenges Energies microgrids model predictive control electric markets flexibility resilence buildings |
title | Model Predictive Control for Microgrid Functionalities: Review and Future Challenges |
title_full | Model Predictive Control for Microgrid Functionalities: Review and Future Challenges |
title_fullStr | Model Predictive Control for Microgrid Functionalities: Review and Future Challenges |
title_full_unstemmed | Model Predictive Control for Microgrid Functionalities: Review and Future Challenges |
title_short | Model Predictive Control for Microgrid Functionalities: Review and Future Challenges |
title_sort | model predictive control for microgrid functionalities review and future challenges |
topic | microgrids model predictive control electric markets flexibility resilence buildings |
url | https://www.mdpi.com/1996-1073/14/5/1296 |
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