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Small-Signal Stability Analysis and Optimization of Grid-Forming Permanent-Magnet Synchronous-Generator Wind Turbines

Author

Listed:
  • Guanghui Li

    (National Key Laboratory of Renewable Energy Grid-Integration, China Electric Power Research Institute, Beijing 100192, China)

  • Runqi Han

    (College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing 102249, China)

  • Bin Liu

    (College of Artificial Intelligence, China University of Petroleum (Beijing), Beijing 102249, China)

  • Zhen Li

    (School of Automation and Key Laboratory for Intelligent Control & Decision on Complex Systems, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Due to the ability to improve the low-inertia characteristics of power systems and offer reliable voltage and frequency support, grid-forming permanent-magnet synchronous-generator wind turbines (PMSG-WTs) based on virtual synchronous-generator (VSG) technology are emerging se the direction for future developments. Previous studies on the small-signal stability of grid-forming PMSG-WTs that connect to the grid usually simplify them into grid-connected grid-side converters (GSC), potentially leading to errors in stability analyses. Therefore, this paper considers the machine-side converter (MSC) control and establishes impedance models for grid-forming PMSG-WTs. Based on the sensitivity calculation of controller parameters using symmetric difference computation based on zero-order optimization, the impact of the internal controller on outside impedance characteristics is quantitatively analyzed. Additionally, an optimization method to enhance the stability of a hybrid wind farm by adjusting the ratio of grid-forming and grid-following wind turbines is proposed.

Suggested Citation

  • Guanghui Li & Runqi Han & Bin Liu & Zhen Li, 2024. "Small-Signal Stability Analysis and Optimization of Grid-Forming Permanent-Magnet Synchronous-Generator Wind Turbines," Energies, MDPI, vol. 17(18), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:18:p:4560-:d:1476244
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