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Adaptive Disturbance Rejection and Power Smoothing Control for Offshore Hydraulic Wind Turbines Based on Pitch and Motor Tilt Angles

Author

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  • Guisheng Yang

    (School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China)

  • Lijuan Chen

    (School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China)

  • Pengyang Cai

    (School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China)

  • Wei Gao

    (School of Advanced Manufacturing, Sun Yat-sen University, Shenzhen 518107, China)

  • Chao Ai

    (School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China)

Abstract

This paper investigates an adaptive disturbance rejection control (ADRC) strategy for dual-variable power smoothing for hydraulic wind turbine systems deployed in marine environments. Initially, fluctuations in wind speed induce variations in the output torque and rotational speed of the wind turbine; this study examines the interaction between these two variables and subsequently decouples them. An innovative dual-variable anti-disturbance control strategy is proposed, which independently regulates the pitch angle of the rotor and the swing angle of the variable motor to mitigate fluctuations in both speed and torque, thereby achieving a smoother system output power. The simulation results obtained through MATLAB/Simulink (Version R2022a) indicate that employing the proposed control strategy leads to an 8.31% reduction in power generation compared to optimal power tracking strategies while enhancing output power stability by 56.67%. Furthermore, the effective smoothing of power fluctuations is accomplished without necessitating energy storage devices. Finally, the effectiveness of the power smooth output control strategy proposed in this paper was verified based on a semi-physical simulation experimental platform for a 30 kW hydraulic wind turbine. The control method proposed in this paper provides a theoretical basis for the promotion and application of hydraulic wind turbines with stable power output.

Suggested Citation

  • Guisheng Yang & Lijuan Chen & Pengyang Cai & Wei Gao & Chao Ai, 2024. "Adaptive Disturbance Rejection and Power Smoothing Control for Offshore Hydraulic Wind Turbines Based on Pitch and Motor Tilt Angles," Energies, MDPI, vol. 17(24), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6244-:d:1541360
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    References listed on IDEAS

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    1. Artigao, Estefania & Martín-Martínez, Sergio & Honrubia-Escribano, Andrés & Gómez-Lázaro, Emilio, 2018. "Wind turbine reliability: A comprehensive review towards effective condition monitoring development," Applied Energy, Elsevier, vol. 228(C), pages 1569-1583.
    2. Pablo L. Tabosa da Silva & Pedro A. Carvalho Rosas & José F. C. Castro & Davidson da Costa Marques & Ronaldo R. B. Aquino & Guilherme F. Rissi & Rafael C. Neto & Douglas C. P. Barbosa, 2023. "Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System," Energies, MDPI, vol. 16(16), pages 1-16, August.
    3. Qinwei Wang & Zeli Du & Wenting Chen & Chao Ai & Xiangdong Kong & Jiarui Zhang & Keyi Liu & Gexin Chen, 2024. "Maximum Power Point Tracking Control of Offshore Hydraulic Wind Turbine Based on Radial Basis Function Neural Network," Energies, MDPI, vol. 17(2), pages 1-21, January.
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    Cited by:

    1. Yangqing Dan & Chenxuan Wang & Keheng Lou & Jinhua Huang & Guoteng Wang & Zheng Xu & Ying Huang, 2025. "A Coordinated Frequency Regulation Strategy Integrating Power Generation, Energy Storage, and DC Transmission for Offshore Wind Power MMC-HVDC Transmission Systems," Energies, MDPI, vol. 18(3), pages 1-13, January.

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