Wind turbine FF+FB independent pitch reduction load control based on LiDAR wind speed reconstruction

Jing Cheng; Yifan Liu; Weiqing Wang; Yuewen Chen; Hongchao Jiang

doi:10.1117/12.3046562

27 September 2024 Wind turbine FF+FB independent pitch reduction load control based on LiDAR wind speed reconstruction

Jing Cheng, Yifan Liu, Weiqing Wang, Yuewen Chen, Hongchao Jiang

Author Affiliations +

Proceedings Volume 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024); 132613W (2024) https://doi.org/10.1117/12.3046562
Event: 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 2024, Wuhan, China

Abstract

Aiming at the issue of maintaining high stability and efficiency in complex wind conditions for large wind turbines, a FF+FB independent pitch reduction load control strategy based on LiDAR wind measurement reconstruction is proposed. Firstly, a wind speed reconstruction method based on the VMD-LSTM model is established. By data-driven mining of the spatiotemporal characteristics between the multi-point LiDAR wind measurement data and the equivalent wind speed estimation. Considering the influence of pitch angle on the external flow field and wind speed evolution, wind speed reconstruction is achieved to provide more accurate wind speed information for pitch control while reducing the number of pitch operations. Then, a FF+FB pitch control strategy is designed to compensate for wind speed disturbances in the dynamic wind field through feedforward braking. In the feedback control, the blade root load is fed back to the controller, and adaptive independent pitch control is implemented to reduce the load. Finally, a model of a 5MW wind power system was built on the Matlab/Simulink platform for simulation analysis and verification. The results show that compared to feedforward control and feedback control, the standard deviation of output power under FF+FB control is reduced by 23.8% and 22.7%, and the standard deviation of tower base torque and blade root flap torque is reduced by more than 14%. The proposed method can ensure the stability of unit output power under turbulent wind conditions and significantly reduce blade load.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jing Cheng, Yifan Liu, Weiqing Wang, Yuewen Chen, and Hongchao Jiang "Wind turbine FF+FB independent pitch reduction load control based on LiDAR wind speed reconstruction", Proc. SPIE 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 132613W (27 September 2024); https://doi.org/10.1117/12.3046562

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Wind speed

Wind turbine technology

LIDAR

Feedback control

Wind measurement

Control systems

Adaptive control

Show All Keywords

Keywords/Phrases

Search In:

Publication Years