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Towards Optimal Management in Microgrids: An Overview

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  • Álex Omar Topa Gavilema

    (Department of Informatics, CIESOL—ceiA3, Ctra. Sacramento s/n, La Cañada de San Urbano, University of Almería, 04120 Almería, Spain
    These authors contributed equally to this work.)

  • José Domingo Álvarez

    (Department of Informatics, CIESOL—ceiA3, Ctra. Sacramento s/n, La Cañada de San Urbano, University of Almería, 04120 Almería, Spain
    These authors contributed equally to this work.)

  • José Luis Torres Moreno

    (Department of Engineering, CIESOL—ceiA3, Ctra. Sacramento s/n, La Cañada de San Urbano, University of Almería, 04120 Almería, Spain
    These authors contributed equally to this work.)

  • Manuel Pérez García

    (Department of Chemistry and Physics, CIESOL—ceiA3, Ctra. Sacramento s/n, La Cañada de San Urbano, University of Almería, 04120 Almería, Spain
    These authors contributed equally to this work.)

Abstract

A microgrid is a set of decentralized loads and electricity sources, mainly renewable. It can operate connected to and synchronized with a traditional wide-area synchronous grid, i.e., a macrogrid, but can also be disconnected to operate in “island mode” or “isolated mode”. When this microgrid is able to manage its own resources and loads through the use of smart meters, smart appliances, control systems, and the like, it is referred to as a smart grid. Therefore, the management and the distribution of the energy inside the microgrid is an important issue, especially when operating in isolated mode. This work presents an overview of the different solutions that have been tested during the last few years to manage microgrids. The review shows the variety of mature and tested solutions for managing microgrids with different configurations and under several approaches.

Suggested Citation

  • Álex Omar Topa Gavilema & José Domingo Álvarez & José Luis Torres Moreno & Manuel Pérez García, 2021. "Towards Optimal Management in Microgrids: An Overview," Energies, MDPI, vol. 14(16), pages 1-25, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5202-:d:619807
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    2. Md Masud Rana & Mohamed Atef & Md Rasel Sarkar & Moslem Uddin & GM Shafiullah, 2022. "A Review on Peak Load Shaving in Microgrid—Potential Benefits, Challenges, and Future Trend," Energies, MDPI, vol. 15(6), pages 1-17, March.
    3. Gil, Juan D. & Topa, A. & Álvarez, J.D. & Torres, J.L. & Pérez, M., 2022. "A review from design to control of solar systems for supplying heat in industrial process applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    4. Romain Mannini & Julien Eynard & Stéphane Grieu, 2022. "A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids," Energies, MDPI, vol. 15(19), pages 1-37, September.
    5. Angelos Patsidis & Adam Dyśko & Campbell Booth & Anastasios Oulis Rousis & Polyxeni Kalliga & Dimitrios Tzelepis, 2023. "Digital Architecture for Monitoring and Operational Analytics of Multi-Vector Microgrids Utilizing Cloud Computing, Advanced Virtualization Techniques, and Data Analytics Methods," Energies, MDPI, vol. 16(16), pages 1-19, August.
    6. Grzegorz Maślak & Przemysław Orłowski, 2022. "Microgrid Operation Optimization Using Hybrid System Modeling and Switched Model Predictive Control," Energies, MDPI, vol. 15(3), pages 1-21, January.

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