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Load mitigation method for wind turbines during emergency shutdowns

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  • Jiang, Zhiyu
  • Xing, Yihan

Abstract

Wind turbines experience countless shutdowns during their lifetimes. A shutdown is a transient process characterised by a pitch-to-feather manoeuvre of three blades. Such a pitch manoeuvre is often collective, open-loop, and can substantially slow the rotor speed within several seconds. However, undesirable structural responses may arise because of the imbalanced aerodynamic loads acting on the rotor. To address this issue, this paper proposes a method that actively adjusts the individual pitch rate of each blade during an emergency shutdown. This method is founded on a minimal intervention principle and uses the blade-root bending moment measurements as the only inputs. The control objective is to minimise the differences in the blade-root flapwise bending moment among the three blades during the shutdown. Using a high-fidelity aeroelastic model, we demonstrate the controller performance under representative steady wind conditions with vertical wind shear. Compared with the baseline shutdown strategy, the proposed method effectively reduces the maximum nontorque bending moment at the main shaft and the tower bottom bending moment; the reductions vary between 10% and 40% under the investigated conditions. The present work can be further extended to reduce structural fatigue damages or to handle complex loading scenarios of offshore wind turbines during shutdowns.

Suggested Citation

  • Jiang, Zhiyu & Xing, Yihan, 2022. "Load mitigation method for wind turbines during emergency shutdowns," Renewable Energy, Elsevier, vol. 185(C), pages 978-995.
  • Handle: RePEc:eee:renene:v:185:y:2022:i:c:p:978-995
    DOI: 10.1016/j.renene.2021.12.068
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    References listed on IDEAS

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    1. Lee, Jae-Kyung & Park, Joon-Young & Oh, Ki-Yong & Ju, Seung-Hwan & Lee, Jun-Shin, 2015. "Transformation algorithm of wind turbine blade moment signals for blade condition monitoring," Renewable Energy, Elsevier, vol. 79(C), pages 209-218.
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    Cited by:

    1. Cheynet, Etienne & Li, Lin & Jiang, Zhiyu, 2024. "Metocean conditions at two Norwegian sites for development of offshore wind farms," Renewable Energy, Elsevier, vol. 224(C).
    2. Antoine Chrétien & Antoine Tahan & Philippe Cambron & Adaiton Oliveira-Filho, 2023. "Operational Wind Turbine Blade Damage Evaluation Based on 10-min SCADA and 1 Hz Data," Energies, MDPI, vol. 16(7), pages 1-18, March.
    3. Liu, Yingzhou & Li, Xin & Shi, Wei & Wang, Wenhua & Jiang, Zhiyu, 2024. "Vibration control of a monopile offshore wind turbines under recorded seismic waves," Renewable Energy, Elsevier, vol. 226(C).
    4. Antoine Chrétien & Antoine Tahan & Francis Pelletier, 2024. "Wind Turbine Blade Damage Evaluation under Multiple Operating Conditions and Based on 10-Min SCADA Data," Energies, MDPI, vol. 17(5), pages 1-21, March.
    5. Yuan Song & Taesu Jeon & Insu Paek & Bayasgalan Dugarjav, 2022. "Design and Validation of Pitch H-Infinity Controller for a Large Wind Turbine," Energies, MDPI, vol. 15(22), pages 1-15, November.

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