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A Comprehensive Review on a Virtual-Synchronous Generator: Topologies, Control Orders and Techniques, Energy Storages, and Applications

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  • Myada Shadoul

    (Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Muscat 123, Oman)

  • Razzaqul Ahshan

    (Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Muscat 123, Oman)

  • Rashid S. AlAbri

    (Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Muscat 123, Oman
    Sustainable Energy Research Center, Sultan Qaboos University, Muscat 123, Oman)

  • Abdullah Al-Badi

    (Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Muscat 123, Oman)

  • Mohammed Albadi

    (Muscat Campus, Arab Open University, Muscat 130, Oman)

  • Mohsin Jamil

    (Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, NL A1C 5S7, Canada)

Abstract

In recent years, the penetration of renewable power generations into the electrical grid has substantially increased. Continuous deployment of power electronic-based distributed generations and the reduction of traditional synchronous machines with their essential dynamics in modern power networks are very critical in this change. The use of power electronic inverters leads to the dissociation of sources and loads and lowering the power system inertia. Under power imbalance, this drop causes an elevated rate of change in frequency and frequency divergences, which has a notable impact on the system’s frequency stability. As a result, enhanced control techniques for grid-tied electronic converters are required to secure the power system’s stability and support. The virtual-synchronous generator (VSG) control is used to mimic the dynamics of a rotating synchronous generator and improve the power system’s stability. In this article, the problems of such low-inertia power systems, as well as the VSG technologies, are explored. This research also looks at different control orders and strategies for virtual-synchronous generators (VSG). In addition, the utilization of energy storage and critical matters in VSG and further research recommendations are explained.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8406-:d:968912
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    References listed on IDEAS

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    1. Behnaz Behi & Ali Baniasadi & Ali Arefi & Arian Gorjy & Philip Jennings & Almantas Pivrikas, 2020. "Cost–Benefit Analysis of a Virtual Power Plant Including Solar PV, Flow Battery, Heat Pump, and Demand Management: A Western Australian Case Study," Energies, MDPI, vol. 13(10), pages 1-24, May.
    2. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    3. Wenju Sang & Wenyong Guo & Shaotao Dai & Chenyu Tian & Suhang Yu & Yuping Teng, 2022. "Virtual Synchronous Generator, a Comprehensive Overview," Energies, MDPI, vol. 15(17), pages 1-29, August.
    4. Li, Pengfei & Hu, Weihao & Xu, Xiao & Huang, Qi & Liu, Zhou & Chen, Zhe, 2019. "A frequency control strategy of electric vehicles in microgrid using virtual synchronous generator control," Energy, Elsevier, vol. 189(C).
    5. Guanfeng Zhang & Junyou Yang & Haixin Wang & Jia Cui, 2020. "Presynchronous Grid-Connection Strategy of Virtual Synchronous Generator Based on Virtual Impedance," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-9, November.
    6. Rasool Kahani & Mohsin Jamil & M. Tariq Iqbal, 2022. "Direct Model Reference Adaptive Control of a Boost Converter for Voltage Regulation in Microgrids," Energies, MDPI, vol. 15(14), pages 1-19, July.
    7. 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).
    8. Ratnam, Kamala Sarojini & Palanisamy, K. & Yang, Guangya, 2020. "Future low-inertia power systems: Requirements, issues, and solutions - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    9. 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.
    10. 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. Yitao Liu & Hongle Chen & Runqiu Fang, 2023. "Virtual Inertia Implemented by Quasi-Z-Source Power Converter for Distributed Power System," Energies, MDPI, vol. 16(18), pages 1-18, September.
    2. Marinka Baghdasaryan & Azatuhi Ulikyan & Arusyak Arakelyan, 2023. "Application of an Artificial Neural Network for Detecting, Classifying, and Making Decisions about Asymmetric Short Circuits in a Synchronous Generator," Energies, MDPI, vol. 16(6), pages 1-19, March.
    3. Daniel Carletti & Thiago Amorim & Lucas Encarnação, 2023. "Virtual Armature Resistance-Based Control for Fault Current Limiting in a High-Order VSG and the Impact on Its Transient Stability," Energies, MDPI, vol. 16(12), pages 1-16, June.
    4. Grzegorz Drałus & Damian Mazur & Jacek Kusznier & Jakub Drałus, 2023. "Application of Artificial Intelligence Algorithms in Multilayer Perceptron and Elman Networks to Predict Photovoltaic Power Plant Generation," Energies, MDPI, vol. 16(18), pages 1-23, September.
    5. Yayao Zhang & Miao Han & Meng Zhan, 2023. "The Concept and Understanding of Synchronous Stability in Power Electronic-Based Power Systems," Energies, MDPI, vol. 16(6), pages 1-15, March.

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