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Analysis and Optimization Strategy of Active Power Dynamic Response for VSG under a Weak Grid

Author

Listed:
  • Rongliang Shi

    (Guangxi Special Equipment Inspection and Research Institute, Nanning 530200, China
    Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Guilin 541004, China)

  • Caihua Lan

    (Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin University of Technology, Guilin 541004, China)

  • Ji Huang

    (Guangxi Special Equipment Inspection and Research Institute, Nanning 530200, China)

  • Chengwei Ju

    (Guangxi Special Equipment Inspection and Research Institute, Nanning 530200, China)

Abstract

A virtual synchronous generator (VSG) has a good adaptability to the weak grid but its grid-connected active power (GCAP) has the problem of a slow dynamic response under the active power command step. An optimization strategy of the GCAP dynamic response for the VSG based on the virtual negative impedance combined with the active power transient damping control algorithm is proposed in this paper. The optimization strategy first uses the virtual negative impedance control method to reduce the VSG equivalent output impedance and the GCAP dynamic response time of the VSG. Then, the transient damping as well as the inhibition ability of the GCAP dynamic oscillation for the VSG are enhanced by the active power transient damping control algorithm. The Matlab/Simulink simulation software is used to study the GCAP dynamic response performances of the VSG in the condition of the active power command step, and the experimental test platform of a VSG grid-connected system is established. The simulation and experimental results jointly verify the feasibility and superiority of the proposed strategy in improving the GCAP dynamic response characteristics of the VSG under a weak grid.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4593-:d:1166735
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
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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. Md Asaduzzaman Shobug & Nafis Ahmed Chowdhury & Md Alamgir Hossain & Mohammad J. Sanjari & Junwei Lu & Fuwen Yang, 2024. "Virtual Inertia Control for Power Electronics-Integrated Power Systems: Challenges and Prospects," Energies, MDPI, vol. 17(11), pages 1-33, June.
    3. Mu Yang & Xiaojie Wu & Dongsheng Yu & Maxwell Chiemeka Loveth & Samson S. Yu, 2024. "An Optimized Power-Angle and Excitation Dual Loop Virtual Power System Stabilizer for Enhanced MMC-VSG Control and Low-Frequency Oscillation Suppression," Energies, MDPI, vol. 17(18), pages 1-27, September.

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