Individual Pitch Control of Wind Turbines Based on SVM Load Estimation and LIDAR Measurement

IEEE Access

Chenjuan Hu¹  Jiameng Pang¹  Xin Wang²  Yingbing Luo²  Jianshu Zhou²  Bin Qin² 

[1] CRRC Zhuzhou Institute Company Ltd., Zhuzhou, China;School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China;

关键词: Wind turbine;    fatigue loads;    IPC;    SVM-based load estimation;    LIDAR;   

DOI  :  10.1109/ACCESS.2021.3120543

来源: DOAJ

【 摘 要 】

With the development of wind turbines to the large scale with high rated powers, how to reduce fatigue loads is the key factor for modern wind turbine control. Aiming at reducing the wind turbine structural fatigue loads, an individual pitch control (IPC) method based on SVM estimation of blade root loads was proposed in this paper. The blade root loads were dynamically estimated by a SVM model according to light detection and ranging (LIDAR) wind speed data. Two approximate decoupling systems for yaw moments and pitch moments were then obtained through Coleman transform. Meanwhile, two individual pitch controllers were designed to reduce the loads and a wind speed feedforward controller was adopted to improve the pitch control performance. The proposed method was verified by a FAST, LIDAR and RT-LAB semi-physical real-time combined simulation system. On this basis, a master control unit was developed and the overall unit was further verified by a CRRC wind turbine master control and pitch joint test platform. Compared with collective pitch control (CPC) and the IPC based on azimuth, the proposed method is effective on reducing fatigue loads and vibration.

【 授权许可】

Unknown