A fuzzy control and neural network based rotor speed controller for maximum power point tracking in permanent magnet synchronous wind power generation system

When the wind speed changes significantly in a permanent magnet synchronous wind power generation system, the maximum power point cannot be easily determined in a timely manner. This study proposes a maximum power reference signal search method based on fuzzy control, which is an improvement to the...

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Bibliographic Details
Published in:Global Energy Interconnection 2023-10, Vol.6 (5), p.554-566
Main Authors: Ding, Min, Tao, Zili, Hu, Bo, Ye, Meng, Ou, Yingxiong, Yokoyama, Ryuichi
Format: Article
Language:English
Subjects:
Fuzzy control
Maximum wind power tracking
Neural network
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Summary:When the wind speed changes significantly in a permanent magnet synchronous wind power generation system, the maximum power point cannot be easily determined in a timely manner. This study proposes a maximum power reference signal search method based on fuzzy control, which is an improvement to the climbing search method. A neural network-based parameter regulator is proposed to address external wind speed fluctuations, where the parameters of a proportional-integral controller is adjusted to accurately monitor the maximum power point under different wind speed conditions. Finally, the effectiveness of this method is verified via Simulink simulation
ISSN:2096-5117
DOI:10.1016/j.gloei.2023.10.004