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Novel Fuzzy Logic Controls to Enhance Dynamic Frequency Control and Pitch Angle Regulation in Variable-Speed Wind Turbines

Author

Listed:
  • Baolong Nguyen Phung

    (Department of Electrical Engineering, National Chung-Cheng University, Chiayi 621301, Taiwan)

  • Yuan-Kang Wu

    (Department of Electrical Engineering, National Chung-Cheng University, Chiayi 621301, Taiwan)

  • Manh-Hai Pham

    (Department of Energy Technology, Electric Power University, Hanoi 11917, Vietnam)

Abstract

This study introduced a novel control approach based on fuzzy logic control (FLC) to enhance the frequency regulation capacity of variable-speed wind turbines (VSWTs). The proposed method integrates FLC within droop and inertia control loops. Real-time measurements of the system frequency and the rate of change of frequency (ROCOF) serve as inputs to the FLC, enabling the method to improve the frequency response by VSWTs. In addition, the method employs FLC for pitch angle frequency control, optimizing reserve power for frequency regulation under varying wind speed levels. The innovative aspect of this study lies in the simultaneous application of FLC to pitch angle frequency control and droop/inertia control, leading to the enhanced frequency regulation capability of VSWTs and smoother operation across a range of wind speeds. Compared with traditional methods, the proposed approach provides a comprehensive and effective solution to the challenges associated with frequency regulation in VSWTs. Through simulations across different wind speed scenarios, the proposed control method demonstrated the best performance among various mature methods, highlighting the efficacy of the proposed method on the frequency regulation of VSWTs under different wind speeds. This study’s findings highlight the potential of the proposed FLC-based method to optimize frequency regulation and contribute to more reliable and efficient wind energy systems.

Suggested Citation

  • Baolong Nguyen Phung & Yuan-Kang Wu & Manh-Hai Pham, 2024. "Novel Fuzzy Logic Controls to Enhance Dynamic Frequency Control and Pitch Angle Regulation in Variable-Speed Wind Turbines," Energies, MDPI, vol. 17(11), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2617-:d:1404513
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    References listed on IDEAS

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    1. Attya, A.B. & Dominguez-Garcia, J.L. & Anaya-Lara, O., 2018. "A review on frequency support provision by wind power plants: Current and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2071-2087.
    2. Jianghong Chen & Teng Yuan & Xuelian Li & Weiliang Li & Ximu Wang, 2023. "Research on Coordinated Control Strategy of DFIG-ES System Based on Fuzzy Control," Energies, MDPI, vol. 16(12), pages 1-12, June.
    3. Yingcheng, Xue & Nengling, Tai, 2011. "Review of contribution to frequency control through variable speed wind turbine," Renewable Energy, Elsevier, vol. 36(6), pages 1671-1677.
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    Cited by:

    1. Nathalia-Michelle Peralta-Vasconez & Leonardo Peña-Pupo & Pablo-Andrés Buestán-Andrade & José R. Nuñez-Alvarez & Herminio Martínez-García, 2025. "Proposal of a Hybrid Neuro-Fuzzy-Based Controller to Optimize the Energy Efficiency of a Wind Turbine," Sustainability, MDPI, vol. 17(8), pages 1-27, April.
    2. Bo-Hyun Woo & Ye-Chan Kim & Seung-Ho Song, 2025. "Real-Time Estimation Methods for the Frequency Support Function Based on a Virtual Wind Turbine," Energies, MDPI, vol. 18(11), pages 1-16, May.

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