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Universal Virtual Synchronous Generator Based on Extended Virtual Inertia to Enhance Power and Frequency Response

Author

Listed:
  • Hao Liu

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Bo Yang

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Song Xu

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Mingjian Du

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Shuai Lu

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

Abstract

Virtual synchronous generators (VSG) are considered a new generation of grid-friendly inverters with the same inertial support characteristics as synchronous generators (SG). However, the inertia support comes with the side effects of power and frequency response deterioration. The existing VSG power oscillation suppression methods have limitations such as complex controller parameter tuning, altering the frequency support characteristics, and power quality degradation. To address these issues, this paper proposes a universal VSG control strategy based on extended virtual inertia (VSG-EVI). Herein, the virtual inertia is no longer a constant or varying number; it is endowed with frequency domain characteristics to improve the VSG transient responses. Moreover, a detailed parameter design process is given in detail. Compared with the conventional VSG (CVSG), VSG-EVI significantly suppress the power and frequency oscillations. Compared with the existing VSG oscillation suppression methods, VSG-EVI addresses the issues of the reduction of frequency support capability, whereas the controller parametric design process is simplified with the proposed intuitive extended virtual inertia. Finally, the proposed VSG-EVI method is thoroughly validated by experiments under both grid-connected and stand-alone modes.

Suggested Citation

  • Hao Liu & Bo Yang & Song Xu & Mingjian Du & Shuai Lu, 2023. "Universal Virtual Synchronous Generator Based on Extended Virtual Inertia to Enhance Power and Frequency Response," Energies, MDPI, vol. 16(7), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:2983-:d:1106719
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    References listed on IDEAS

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    1. Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Marzband, Mousa & Tostado-Véliz, Marcos & Jurado, Francisco & Aguado, José A., 2023. "An IoT-enabled hierarchical decentralized framework for multi-energy microgrids market management in the presence of smart prosumers using a deep learning-based forecaster," Applied Energy, Elsevier, vol. 333(C).
    2. Amar Kumar Barik & Dulal Chandra Das & Abdul Latif & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Optimal Voltage–Frequency Regulation in Distributed Sustainable Energy-Based Hybrid Microgrids with Integrated Resource Planning," Energies, MDPI, vol. 14(10), pages 1-26, May.
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    Cited by:

    1. Erico Gurski & Roman Kuiava & Filipe Perez & Raphael A. S. Benedito & Gilney Damm, 2024. "A Novel VSG with Adaptive Virtual Inertia and Adaptive Damping Coefficient to Improve Transient Frequency Response of Microgrids," Energies, MDPI, vol. 17(17), pages 1-22, September.
    2. Wenwen He & Jun Yao & Hao Xu & Qinmin Zhong & Ruilin Xu & Yuming Liu & Xiaoju Li, 2024. "Transient Synchronous Stability Analysis of Grid-Forming Photovoltaic Grid-Connected Inverters during Asymmetrical Grid Faults," Energies, MDPI, vol. 17(6), pages 1-19, March.
    3. Rongliang Shi & Caihua Lan & Ji Huang & Chengwei Ju, 2023. "Analysis and Optimization Strategy of Active Power Dynamic Response for VSG under a Weak Grid," Energies, MDPI, vol. 16(12), pages 1-18, June.

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