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Reduction in the Fluctuating Load on Wind Turbines by Using a Combined Nacelle Acceleration Feedback and Lidar-Based Feedforward Control

Author

Listed:
  • Atsushi Yamaguchi

    (Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan)

  • Iman Yousefi

    (Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan)

  • Takeshi Ishihara

    (Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan)

Abstract

An advanced pitch controller is proposed for the load mitigation of wind turbines. This study focuses on the nacelle acceleration feedback control and lidar-based feedforward control, and discusses how these controllers contribute to reduce the load on wind turbines. The nacelle acceleration feedback control increases the damping ratio of the first mode of wind turbines, but it also increases the fluctuation in the rotor speed and thrust force, which results in the optimum gain value. The lidar-based feedforward control reduces the fluctuation in the rotor speed and the thrust force by decreasing the fluctuating wind load on the rotor, which reduces the fluctuating load on the tower. The combination of the nacelle acceleration feedback control and the lidar-based feedforward control successfully reduces both the response of the tower first mode and the fluctuation in the rotor speed at the same time.

Suggested Citation

  • Atsushi Yamaguchi & Iman Yousefi & Takeshi Ishihara, 2020. "Reduction in the Fluctuating Load on Wind Turbines by Using a Combined Nacelle Acceleration Feedback and Lidar-Based Feedforward Control," Energies, MDPI, vol. 13(17), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4558-:d:407987
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    References listed on IDEAS

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    1. Xiaobing Kong & Lele Ma & Xiangjie Liu & Mohamed Abdelkarim Abdelbaky & Qian Wu, 2020. "Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions," Energies, MDPI, vol. 13(1), pages 1-21, January.
    2. Gao, Richie & Gao, Zhiwei, 2016. "Pitch control for wind turbine systems using optimization, estimation and compensation," Renewable Energy, Elsevier, vol. 91(C), pages 501-515.
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    Cited by:

    1. Qian, Guo-Wei & Song, Yun-Peng & Ishihara, Takeshi, 2022. "A control-oriented large eddy simulation of wind turbine wake considering effects of Coriolis force and time-varying wind conditions," Energy, Elsevier, vol. 239(PA).
    2. Atsushi Yamaguchi & Subanapong Danupon & Takeshi Ishihara, 2022. "Numerical Prediction of Tower Loading of Floating Offshore Wind Turbine Considering Effects of Wind and Wave," Energies, MDPI, vol. 15(7), pages 1-18, March.

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