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Small-Signal Stability Research of Grid-Connected Virtual Synchronous Generators

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  • Shengyang Lu

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    Electric Power Research Institute of State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110006, China)

  • Yu Zhu

    (Electric Power Research Institute of State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110006, China)

  • Lihu Dong

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Guangyu Na

    (State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110006, China)

  • Yan Hao

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Guanfeng Zhang

    (Electric Power Research Institute of State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110006, China)

  • Wuyang Zhang

    (Electric Power Research Institute of State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110006, China)

  • Shanshan Cheng

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Junyou Yang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Yuqiu Sui

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110006, China)

Abstract

The virtual synchronous generator (VSG) technique is used to simulate the external characteristics of a synchronous generator (SG) to provide certain damping and inertia to power systems. However, it may easily cause low-frequency oscillation of the power system. We studied the small-signal stability of a grid-connected virtual synchronous generator. Firstly, the small-signal models of single-VSG and multi-VSG grid-connected systems were established. Subsequently, the system eigenvalues were obtained by solving the state matrix, and the system oscillation modes were analyzed. The eigenvalue analysis method was used to analyze the impacts of parameter changes, such as virtual moment of inertia, virtual damping coefficient, line resistance, and line inductance, on system stability. Finally, our conclusions were verified by numerous simulation models.

Suggested Citation

  • Shengyang Lu & Yu Zhu & Lihu Dong & Guangyu Na & Yan Hao & Guanfeng Zhang & Wuyang Zhang & Shanshan Cheng & Junyou Yang & Yuqiu Sui, 2022. "Small-Signal Stability Research of Grid-Connected Virtual Synchronous Generators," Energies, MDPI, vol. 15(19), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7158-:d:928555
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    References listed on IDEAS

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    1. Li, Dezhi & Li, Shuo & Zhang, Shubo & Sun, Jianrui & Wang, Licheng & Wang, Kai, 2022. "Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine," Energy, Elsevier, vol. 250(C).
    2. Xiaojia Wang & Ting Huang & Keyu Zhu & Xibin Zhao, 2022. "LSTM-Based Broad Learning System for Remaining Useful Life Prediction," Mathematics, MDPI, vol. 10(12), pages 1-13, June.
    3. Zhenxiao Yi & Kun Zhao & Jianrui Sun & Licheng Wang & Kai Wang & Yongzhi Ma & Ali Ahmadian, 2022. "Prediction of the Remaining Useful Life of Supercapacitors," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, May.
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    Cited by:

    1. 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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