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Virtual Inertia Control Methods in Islanded Microgrids

Author

Listed:
  • Vjatseslav Skiparev

    (Department of Software Science, Tallinn University of Technology, 12618 Tallinn, Estonia)

  • Ram Machlev

    (The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion—Israel Institute of Technology, Haifa 3200003, Israel)

  • Nilanjan Roy Chowdhury

    (Shamoon College of Engineering, Beer-Sheva 84100, Israel)

  • Yoash Levron

    (The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion—Israel Institute of Technology, Haifa 3200003, Israel)

  • Eduard Petlenkov

    (Department of Computer Systems, Tallinn University of Technology, 12618 Tallinn, Estonia)

  • Juri Belikov

    (Department of Software Science, Tallinn University of Technology, 12618 Tallinn, Estonia)

Abstract

Although the deployment and integration of isolated microgrids is gaining widespread support, regulation of microgrid frequency under high penetration levels of renewable sources is still being researched. Among the numerous studies on frequency stability, one key approach is based on integrating an additional loop with virtual inertia control, designed to mimic the behavior of traditional synchronous machines. In this survey, recent works related to virtual inertia control methods in islanded microgrids are reviewed. Based on a contextual analysis of recent papers from the last decade, we attempt to better understand why certain control methods are suitable for different scenarios, the currently open theoretical and numerical challenges, and which control strategies will predominate in the following years. Some of the reviewed methods are the coefficient diagram method, H-infinity-based methods, reinforcement-learning-based methods, practical-swarm-based methods, fuzzy-logic-based methods, and model-predictive controllers.

Suggested Citation

  • Vjatseslav Skiparev & Ram Machlev & Nilanjan Roy Chowdhury & Yoash Levron & Eduard Petlenkov & Juri Belikov, 2021. "Virtual Inertia Control Methods in Islanded Microgrids," Energies, MDPI, vol. 14(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1562-:d:515305
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    References listed on IDEAS

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    1. Gaber Magdy & Abualkasim Bakeer & Morsy Nour & Eduard Petlenkov, 2020. "A New Virtual Synchronous Generator Design Based on the SMES System for Frequency Stability of Low-Inertia Power Grids," Energies, MDPI, vol. 13(21), pages 1-17, October.
    2. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    3. Fernández-Guillamón, Ana & Gómez-Lázaro, Emilio & Muljadi, Eduard & Molina-García, Ángel, 2019. "Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    4. Enang, Wisdom & Bannister, Chris, 2017. "Modelling and control of hybrid electric vehicles (A comprehensive review)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1210-1239.
    5. Daniel Akinyele & Juri Belikov & Yoash Levron, 2018. "Challenges of Microgrids in Remote Communities: A STEEP Model Application," Energies, MDPI, vol. 11(2), pages 1-35, February.
    6. Thongchart Kerdphol & Fathin S. Rahman & Yasunori Mitani & Komsan Hongesombut & Sinan Küfeoğlu, 2017. "Virtual Inertia Control-Based Model Predictive Control for Microgrid Frequency Stabilization Considering High Renewable Energy Integration," Sustainability, MDPI, vol. 9(5), pages 1-21, May.
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    Cited by:

    1. Abdel-Raheem Youssef & Mohamad Mallah & Abdelfatah Ali & Mostafa F. Shaaban & Essam E. M. Mohamed, 2023. "Enhancement of Microgrid Frequency Stability Based on the Combined Power-to-Hydrogen-to-Power Technology under High Penetration Renewable Units," Energies, MDPI, vol. 16(8), pages 1-18, April.
    2. Luigi Rubino & Guido Rubino & Paolo Conti, 2021. "Design of a Power System Supervisory Control with Linear Optimization for Electrical Load Management in an Aircraft On-Board DC Microgrid," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    3. Amr Saleh & Walid A. Omran & Hany M. Hasanien & Marcos Tostado-Véliz & Abdulaziz Alkuhayli & Francisco Jurado, 2022. "Manta Ray Foraging Optimization for the Virtual Inertia Control of Islanded Microgrids Including Renewable Energy Sources," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    4. Amr Saleh & Hany M. Hasanien & Rania A. Turky & Balgynbek Turdybek & Mohammed Alharbi & Francisco Jurado & Walid A. Omran, 2023. "Optimal Model Predictive Control for Virtual Inertia Control of Autonomous Microgrids," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    5. Myada Shadoul & Razzaqul Ahshan & Rashid S. AlAbri & Abdullah Al-Badi & Mohammed Albadi & Mohsin Jamil, 2022. "A Comprehensive Review on a Virtual-Synchronous Generator: Topologies, Control Orders and Techniques, Energy Storages, and Applications," Energies, MDPI, vol. 15(22), pages 1-27, November.
    6. Juan Moreno-Castro & Victor Samuel Ocaña Guevara & Lesyani Teresa León Viltre & Yandi Gallego Landera & Oscar Cuaresma Zevallos & Miguel Aybar-Mejía, 2023. "Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review," Energies, MDPI, vol. 16(16), pages 1-24, August.

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