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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Main Authors: Felix Garcia-Torres, Ascension Zafra-Cabeza, Carlos Silva, Stephane Grieu, Tejaswinee Darure, Ana Estanqueiro
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Energies
Subjects:
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.
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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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AT stephanegrieu modelpredictivecontrolformicrogridfunctionalitiesreviewandfuturechallenges
AT tejaswineedarure modelpredictivecontrolformicrogridfunctionalitiesreviewandfuturechallenges
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