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A Review on Active-Power-Sharing Techniques for Microgrids

Author

Listed:
  • Syed Rizvi

    (School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA 6102, Australia)

  • Ahmed Abu-Siada

    (School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA 6102, Australia)

Abstract

This paper provides a thorough examination of various techniques for sharing active power between multiple dispatchable generation sources distributed within an interconnected microgrid. Ideally, an interconnected microgrid should function as a consistent load or source. However, achieving this ideal operation requires compensating for natural load fluctuations and the intermittent power output from non-dispatchable energy sources within the microgrid through timely and adequate adjustments made by dispatchable generation. Numerous control and management systems have been documented in the existing literature to achieve optimal microgrid operation. This paper presents a concise comparison of most of the proposed systems published in the literature. The benefits and restrictions of the proposed methods are thoroughly evaluated under various possible operating scenarios.

Suggested Citation

  • Syed Rizvi & Ahmed Abu-Siada, 2023. "A Review on Active-Power-Sharing Techniques for Microgrids," Energies, MDPI, vol. 16(13), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5175-:d:1187339
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    References listed on IDEAS

    as
    1. Jiayi, Huang & Chuanwen, Jiang & Rong, Xu, 2008. "A review on distributed energy resources and MicroGrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2472-2483, December.
    2. Prevedello, Giulio & Werth, Annette, 2021. "The benefits of sharing in off-grid microgrids: A case study in the Philippines," Applied Energy, Elsevier, vol. 303(C).
    3. Ai, Qian & Wang, Xiaohong & He, Xing, 2014. "The impact of large-scale distributed generation on power grid and microgrids," Renewable Energy, Elsevier, vol. 62(C), pages 417-423.
    4. Moretti, L. & Polimeni, S. & Meraldi, L. & Raboni, P. & Leva, S. & Manzolini, G., 2019. "Assessing the impact of a two-layer predictive dispatch algorithm on design and operation of off-grid hybrid microgrids," Renewable Energy, Elsevier, vol. 143(C), pages 1439-1453.
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