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Microgrids Literature Review through a Layers Structure

Author

Listed:
  • Miguel Carpintero-Rentería

    (Department of Electrical Engineering, University Carlos III of Madrid (UC3M), Avda. De la Universidad 30, Leganés, 28911 Madrid, Spain)

  • David Santos-Martín

    (Department of Electrical Engineering, University Carlos III of Madrid (UC3M), Avda. De la Universidad 30, Leganés, 28911 Madrid, Spain)

  • Josep M. Guerrero

    (Department Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

Abstract

Within a distributed generation (DG) system, microgrids (MGs) are an alternative approach that may provide both resiliency and efficiency benefits. In this review, an analysis of both research and industrial documents was done. In order to establish a solid foundation of the MGs concept, a comparison of various definitions written by distinguished authors has been made. Segmenting the information of MGs into layers facilitates its analysis, search, and comparison. Therefore, this paper continuous with a layer approach from other studies and incorporates the concept of the environment as a key element that has a high impact on the microgrid functional structure. With the foundation of the MG concept, an exhaustive literature review has been developed about the main microgrid layers, such as business, standard, climate, infrastructure or control, and operation.

Suggested Citation

  • Miguel Carpintero-Rentería & David Santos-Martín & Josep M. Guerrero, 2019. "Microgrids Literature Review through a Layers Structure," Energies, MDPI, vol. 12(22), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4381-:d:288170
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    7. Hegazy Rezk & A. G. Olabi & Enas Taha Sayed & Tabbi Wilberforce, 2023. "Role of Metaheuristics in Optimizing Microgrids Operating and Management Issues: A Comprehensive Review," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
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    13. Muhammad Aslam & Jae-Myeong Lee & Hyung-Seung Kim & Seung-Jae Lee & Sugwon Hong, 2019. "Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study," Energies, MDPI, vol. 13(1), pages 1-15, December.
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    16. Eros D. Escobar & Tatiana Manrique & Idi A. Isaac, 2022. "Campus Microgrid Data-Driven Model Identification and Secondary Voltage Control," Energies, MDPI, vol. 15(21), pages 1-19, October.
    17. Hamdi Abdi, 2022. "A Brief Review of Microgrid Surveys, by Focusing on Energy Management System," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    18. Augusto M. S. Alonso & Luis De Oro Arenas & Danilo I. Brandao & Elisabetta Tedeschi & Ricardo Q. Machado & Fernando P. Marafão, 2022. "Current-Based Coordination of Distributed Energy Resources in a Grid-Connected Low-Voltage Microgrid: An Experimental Validation of Adverse Operational Scenarios," Energies, MDPI, vol. 15(17), pages 1-26, September.
    19. Hak-Ju Lee & Ba Hau Vu & Rehman Zafar & Sung-Wook Hwang & Il-Yop Chung, 2021. "Design Framework of a Stand-Alone Microgrid Considering Power System Performance and Economic Efficiency," Energies, MDPI, vol. 14(2), pages 1-28, January.

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