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Ripple Analysis and Suppression Method Research of Direct Drive Permanent Magnet Synchronous Wind Turbine under Wind Shear

Author

Listed:
  • Zhiyong Li

    (School of Automation, Central South University, Changsha 410083, China)

  • Xin Wang

    (School of Automation, Central South University, Changsha 410083, China)

  • Guohang Huang

    (School of Automation, Central South University, Changsha 410083, China)

  • Hui Wan

    (School of Automation, Central South University, Changsha 410083, China
    Hunan Xiangjiang Artificial Intelligence Academy, Changsha 410036, China)

  • Yougen Chen

    (School of Automation, Central South University, Changsha 410083, China)

Abstract

Wind shear is among the important sources of torque fluctuation on mechanical side and output power fluctuation on electromagnetic side and grid connection point, which frequency are triple turbine rotation frequency. With the increase in wind turbine single capacity and wind power integration scale, the power fluctuation caused by wind shear cannot be ignored. The paper takes a direct-drive permanent magnet synchronous wind turbine (PMSWT) as the research object. Firstly, the fluctuation transfer mechanism model is established; then, the current ripple is extracted by a notch filter to calculate the voltage control signal to suppress power fluctuation actively by the DC link capacitor which absorbs fluctuation energy. The simulation experiment shows that the suppression strategy is effective and reliable.

Suggested Citation

  • Zhiyong Li & Xin Wang & Guohang Huang & Hui Wan & Yougen Chen, 2020. "Ripple Analysis and Suppression Method Research of Direct Drive Permanent Magnet Synchronous Wind Turbine under Wind Shear," Energies, MDPI, vol. 13(19), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5088-:d:421553
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    Citations

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    Cited by:

    1. Xiaolei Cai & Qixuan Wang & Yucheng Wang & Li Zhang, 2023. "Research on a Variable-Leakage-Flux Permanent Magnet Motor Control System Based on an Adaptive Tracking Estimator," Energies, MDPI, vol. 16(2), pages 1-16, January.

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