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Implementation and evaluation of control strategies based on an open controller for a 10 MW floating wind turbine

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  • Hu, Ruiqi
  • Le, Conghuan
  • Gao, Zhen
  • Ding, Hongyan
  • Zhang, Puyang

Abstract

The reliability assessment concerning the drivetrain system is important for integrated dynamic analysis of large-scale floating wind turbines (FWTs). An open, modular, and adaptable baseline wind turbine controller is implemented and evaluated in this paper to work with the DTU 10 MW reference wind turbines supported by a proposed Tension Leg Platform (TLP). Higher natural frequency of the controller can account for the coupling effects between the blade pitch control and the platform motions that contributing to poor performances of the FWT and negative damped pitch motions. Through simulations by FAST code, the baseline controller is evaluated by comparing the conventional pitch-to-feather strategy and the active pitch-to-stall strategy. The controller is detuned with different control frequencies and the active stall control strategy is tailored for the proposed TLPFWT. The results suggest that system instabilities induced by higher control frequency decreases fast as the growth of wind speed and the stall controller can lead to around twice platform motions and structure force as large as baseline controller in a wide range of frequency, whereas the rotor performance is fine. The DRC working with FAST proves applicable and different control algorithms and the integrated dynamic effects with other floating foundations can be achieved.

Suggested Citation

  • Hu, Ruiqi & Le, Conghuan & Gao, Zhen & Ding, Hongyan & Zhang, Puyang, 2021. "Implementation and evaluation of control strategies based on an open controller for a 10 MW floating wind turbine," Renewable Energy, Elsevier, vol. 179(C), pages 1751-1766.
    • Handle: RePEc:eee:renene:v:179:y:2021:i:c:p:1751-1766
    DOI: 10.1016/j.renene.2021.07.117
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    References listed on IDEAS

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    1. Ebrahimi, F.M. & Khayatiyan, A. & Farjah, E., 2016. "A novel optimizing power control strategy for centralized wind farm control system," Renewable Energy, Elsevier, vol. 86(C), pages 399-408.
    2. Lasheen, Ahmed & Elshafei, Abdel Latif, 2016. "Wind-turbine collective-pitch control via a fuzzy predictive algorithm," Renewable Energy, Elsevier, vol. 87(P1), pages 298-306.
    3. Goupee, Andrew J. & Kimball, Richard W. & Dagher, Habib J., 2017. "Experimental observations of active blade pitch and generator control influence on floating wind turbine response," Renewable Energy, Elsevier, vol. 104(C), pages 9-19.
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    Cited by:

    1. Zhang, Puyang & Li, Yan'e & Le, Conghuan & Ding, Hongyan & Yang, Zhou & Qiang, Li, 2022. "Dynamic characteristics analysis of three-bucket jacket foundation lowering through the splash zone," Renewable Energy, Elsevier, vol. 199(C), pages 1116-1132.
    2. Zhang, Ruixing & An, Liqiang & He, Lun & Yang, Xinmeng & Huang, Zenghao, 2024. "Reliability analysis and inverse optimization method for floating wind turbines driven by dual meta-models combining transient-steady responses," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    3. Keflemariam, Yisehak A. & Lee, Sang, 2023. "Control and dynamic analysis of a 10 MW floating wind turbine on a TetraSpar multi-body platform," Renewable Energy, Elsevier, vol. 217(C).

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