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

Baolong Nguyen Phung, Yuan-Kang Wu () and Manh-Hai Pham
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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

Energies, 2024, vol. 17, issue 11, 1-26

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.

Keywords: fuzzy logic control; variable-speed wind turbines; droop and inertia control; pitch angle frequency control; frequency regulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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