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Resonance Avoidance Control Algorithm for Semi-Submersible Floating Offshore Wind Turbine

Author

Listed:
  • Kwansu Kim

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Hyunjong Kim

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Hyungyu Kim

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Jaehoon Son

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Jungtae Kim

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

  • Jongpo Park

    (Center for Green Energy & Industry Intelligence, Institute for Advanced Engineering, Yongin 17180, Korea)

Abstract

In this study, a resonance avoidance control algorithm was designed to address the tower resonance problem of a semi-submersible floating offshore wind turbine (FOWT) and the dynamic performance of the wind turbine, floater platform, and mooring lines at two exclusion zone ranges were evaluated. The simulations were performed using Bladed, a commercial software for wind turbine analysis. The length of simulation for the analysis of the dynamic response of the six degrees of freedom (DoF) motion of the floater platform under a specific load case was 3600 s. The simulation results are presented in terms of the time domain, frequency domain, and using statistical analysis. As a result of applying the resonance avoidance control algorithm, when the exclusion zone range was ±0.5 rpm from the resonance rpm, the overall performance of the wind turbine was negatively affected, and when the range was sufficiently wide at ±1 rpm, the mean power was reduced by 0.04%, and the damage equivalent load of the tower base side–side bending moment was reduced by 14.02%. The tower resonance problem of the FOWT caused by practical limitations in design and cost issues can be resolved by changing the torque control algorithm.

Suggested Citation

  • Kwansu Kim & Hyunjong Kim & Hyungyu Kim & Jaehoon Son & Jungtae Kim & Jongpo Park, 2021. "Resonance Avoidance Control Algorithm for Semi-Submersible Floating Offshore Wind Turbine," Energies, MDPI, vol. 14(14), pages 1-17, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4138-:d:591114
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    References listed on IDEAS

    as
    1. Dawn Ward & Maurizio Collu & Joy Sumner, 2019. "Reducing Tower Fatigue through Blade Back Twist and Active Pitch-to-Stall Control Strategy for a Semi-Submersible Floating Offshore Wind Turbine," Energies, MDPI, vol. 12(10), pages 1-16, May.
    2. Joannes Olondriz & Iker Elorza & Josu Jugo & Santi Alonso-Quesada & Aron Pujana-Arrese, 2018. "An Advanced Control Technique for Floating Offshore Wind Turbines Based on More Compact Barge Platforms," Energies, MDPI, vol. 11(5), pages 1-14, May.
    3. Joannes Olondriz & Wei Yu & Josu Jugo & Frank Lemmer & Iker Elorza & Santiago Alonso-Quesada & Aron Pujana-Arrese, 2018. "Using Multiple Fidelity Numerical Models for Floating Offshore Wind Turbine Advanced Control Design," Energies, MDPI, vol. 11(9), pages 1-13, September.
    4. Keshan He & Liangwen Qi & Liming Zheng & Yan Chen, 2018. "Combined Pitch and Trailing Edge Flap Control for Load Mitigation of Wind Turbines," Energies, MDPI, vol. 11(10), pages 1-16, September.
    5. Søren Christiansen & Thomas Bak & Torben Knudsen, 2013. "Damping Wind and Wave Loads on a Floating Wind Turbine," Energies, MDPI, vol. 6(8), pages 1-20, August.
    6. Joannes Olondriz & Josu Jugo & Iker Elorza & Santiago Alonso-Quesada and Aron Pujana-Arrese, 2019. "A Feedback Control Loop Optimisation Methodology for Floating Offshore Wind Turbines," Energies, MDPI, vol. 12(18), pages 1-12, September.
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    Cited by:

    1. Taesu Jeon & Dongmyoung Kim & Yuan Song & Insu Paek, 2021. "Design and Validation of Demanded Power Point Tracking Control Algorithm for MIMO Controllers in Wind Turbines," Energies, MDPI, vol. 14(18), pages 1-18, September.

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