Model Predictive Control for Microgrid Functionalities: Review and Future Challenges

Felix Garcia-Torres, Ascension Zafra-Cabeza, Carlos Silva, Stephane Grieu, Tejaswinee Darure and Ana Estanqueiro
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Felix Garcia-Torres: Application Unit, Centro Nacional del Hidrogeno, 13500 Puertollano, Ciudad Real, Spain
Ascension Zafra-Cabeza: Department of Systems Engineering and Automatic Control, Universidad de Sevilla, 41092 Sevilla, Spain
Carlos Silva: IN+ Center for Innovation, Technology and Policy Research, Mechanical Engineering Department, Instituto Superior Técnico (IST), Universidade de Lisboa, 1049-001 Lisbon, Portugal
Stephane Grieu: Processes, Materials and Solar Energy (PROMES-CNRS) Laboratory, University of Perpignan Via Domitia, 66100 Perpignan, France
Tejaswinee Darure: Processes, Materials and Solar Energy (PROMES-CNRS) Laboratory, University of Perpignan Via Domitia, 66100 Perpignan, France
Ana Estanqueiro: Unidade de Energias Renováveis e Eficiência Energética, Laboratorio Nacional de Energia e Geologia, 1649-038 Lisbon, Portugal

Energies, 2021, vol. 14, issue 5, 1-26

Abstract: 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.

Keywords: microgrids; model predictive control; electric markets; flexibility; resilence; buildings; energy storage system; power-to-X; power quality and reliability; blockchain; fault-tolerant control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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