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A Pitch Angle Controller Based on Novel Fuzzy-PI Control for Wind Turbine Load Reduction

Author

Listed:
  • Bofeng Xu

    (Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China)

  • Yue Yuan

    (Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China)

  • Haoming Liu

    (Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China)

  • Peng Jiang

    (Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 211100, China
    Goldwind Science & Technology Co., Ltd., Beijing 100176, China)

  • Ziqi Gao

    (Goldwind Science & Technology Co., Ltd., Beijing 100176, China)

  • Xiang Shen

    (Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK)

  • Xin Cai

    (Jiangsu Province Wind Power Structural Engineering Research Center, Hohai University, Nanjing 211100, China)

Abstract

A novel fuzzy rule is proposed to adopt a positive pitch strategy when the error between the measured and rated generator speed becomes large and continues to increase, and to adopt a negative pitch strategy when the error is small. The improved approach is introduced into the normal Fuzzy-Proportional-Integral (Fuzzy-PI) control strategy by dividing the fuzzy rules into four areas and analyzing the design method for each area. Furthermore, a low pass filter is used to reduce the ultimate loads of the pitch driver caused by the novel fuzzy rules. The modeling of the wind turbine load under turbulent wind conditions is conducted in GH Bladed, and MATLAB/Simulink is used to interact with the modeling to verify the novel Fuzzy-PI control. The results show that, compared with normal Fuzzy-PI control, the novel Fuzzy-PI control can greatly reduce the ultimate loads and fatigue loads of the pitch driver. The novel Fuzzy-PI control not only reduces the extremum of power deviation, but also decreases some ultimate loads and fatigue loads of the tower base and the blade root. It can reduce these loads by up to 21.53% under the normal turbulent wind condition and by up to 18.14% under the extreme turbulent wind condition.

Suggested Citation

  • Bofeng Xu & Yue Yuan & Haoming Liu & Peng Jiang & Ziqi Gao & Xiang Shen & Xin Cai, 2020. "A Pitch Angle Controller Based on Novel Fuzzy-PI Control for Wind Turbine Load Reduction," Energies, MDPI, vol. 13(22), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6086-:d:448506
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    References listed on IDEAS

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    Cited by:

    1. Yingming Liu & Shuyuan Zhang & Xiaodong Wang & Hongfang Xie & Tian Cao, 2022. "Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control," Energies, MDPI, vol. 15(22), pages 1-22, November.
    2. Aya M. Moheb & Enas A. El-Hay & Attia A. El-Fergany, 2022. "Comprehensive Review on Fault Ride-Through Requirements of Renewable Hybrid Microgrids," Energies, MDPI, vol. 15(18), pages 1-30, September.
    3. Sahin, Mustafa & Yavrucuk, Ilkay, 2022. "Adaptive envelope protection control of wind turbines under varying operational conditions," Energy, Elsevier, vol. 247(C).
    4. Xingkang Jin & Wen Tan & Yarong Zou & Zijian Wang, 2022. "Active Disturbance Rejection Control for Wind Turbine Fatigue Load," Energies, MDPI, vol. 15(17), pages 1-15, August.
    5. González-Hernández, José Genaro & Salas-Cabrera, Rubén & Vázquez-Bautista, Roberto & Ong-de-la-Cruz, Luis Manuel & Rodríguez-Guillén, Joel, 2021. "A novel MPPT PI discrete reverse-acting controller for a wind energy conversion system," Renewable Energy, Elsevier, vol. 178(C), pages 904-915.

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