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Design, modeling and implementation of a novel pitch angle control system for wind turbine

Author

Listed:
  • Yin, Xiu-xing
  • Lin, Yong-gang
  • Li, Wei
  • Gu, Ya-jing
  • Wang, Xiao-jun
  • Lei, Peng-fei

Abstract

A novel pitch angle control system is proposed to smooth output power and drive-train torque fluctuations for wind turbine. This system is characterized by an outer open control loop for enhancing the direct pitching motion and an intrinsic hydro-mechanical position control loop offering the benefit of sensor-less pitch control. A pragmatic design procedure is provided and several key design parameters are determined or optimized. Modeling, stability analysis and dynamic characteristics of this pitch control system are also presented. Comparative experimental results have validated the effectiveness and efficiency of this system in power and torque regulations.

Suggested Citation

  • Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Ya-jing & Wang, Xiao-jun & Lei, Peng-fei, 2015. "Design, modeling and implementation of a novel pitch angle control system for wind turbine," Renewable Energy, Elsevier, vol. 81(C), pages 599-608.
    • Handle: RePEc:eee:renene:v:81:y:2015:i:c:p:599-608
    DOI: 10.1016/j.renene.2015.03.042
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    References listed on IDEAS

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    1. Xiyun Yang & Jinxia Li & Wei Liu & Peng Guo, 2011. "Petri Net Model and Reliability Evaluation for Wind Turbine Hydraulic Variable Pitch Systems," Energies, MDPI, vol. 4(6), pages 1-20, June.
    2. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
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    Cited by:

    1. Gu, Ya-jing & Lin, Yong-gang & Xu, Quan-kun & Liu, Hong-wei & Li, Wei, 2018. "Blade-pitch system for tidal current turbines with reduced variation pitch control strategy based on tidal current velocity preview," Renewable Energy, Elsevier, vol. 115(C), pages 149-158.
    2. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    3. Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
    4. Chan Roh, 2022. "Deep-Learning-Based Pitch Controller for Floating Offshore Wind Turbine Systems with Compensation for Delay of Hydraulic Actuators," Energies, MDPI, vol. 15(9), pages 1-18, April.
    5. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Ye, Hang-ye & Gu, Ya-jing & Liu, Hong-wei, 2015. "Reproduction of five degree-of-freedom loads for wind turbine using equispaced electro-hydraulic actuators," Renewable Energy, Elsevier, vol. 83(C), pages 626-637.
    6. Kim, Joon-Hyung & Cho, Bo-Min & Kim, Sung & Kim, Jin-Woo & Suh, Jun-Won & Choi, Young-Seok & Kanemoto, Toshiaki & Kim, Jin-Hyuk, 2017. "Design technique to improve the energy efficiency of a counter-rotating type pump-turbine," Renewable Energy, Elsevier, vol. 101(C), pages 647-659.
    7. Md Rasel Sarkar & Sabariah Julai & Chong Wen Tong & Moslem Uddin & M.F. Romlie & GM Shafiullah, 2020. "Hybrid Pitch Angle Controller Approaches for Stable Wind Turbine Power under Variable Wind Speed," Energies, MDPI, vol. 13(14), pages 1-19, July.
    8. 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.
    9. Mazare, Mahmood & Taghizadeh, Mostafa, 2022. "Uncertainty estimator-based dual layer adaptive fault-tolerant control for wind turbines," Renewable Energy, Elsevier, vol. 188(C), pages 545-560.

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