大型风机风向补偿算法研究

为提高风电设备的风能转化率，实现在不增加硬件成本条件下提高发电量，研究了风向优化补偿算法。首先在研究尾流影响风向测量误差的过程中，明确了偏航误差的层流成分和湍流成分，建立了切向诱导因子补偿算法补偿层流成分误差，同时引入了卡尔曼滤波算法补偿湍流成分误差。然后建立了算法效果验证方式和验证指标。最后依托项目组实验条件进行了算法验证。结果表明，风向补偿算法在不增加硬件设备的情况下，可提高风机对风准确率30.36%，提高最优发电工况发电量2.82%。

Research on a wind direction compensation algorithm of a large wind turbine

A study of a wind direction optimization compensation algorithm is carried out to improve power generation by enhancing the wind energy conversion rate of wind power equipment without increasing the hardware cost. First, the laminar flow component and turbulence component of yaw error are defined while studying the influence of wake flow on wind direction measurement error. A tangential induction factor compensation algorithm is established to compensate for the laminar flow component error, and the Kalman filter algorithm is introduced to compensate for the turbulence component error at the same time. After that, a method and an index value are established to verify the accuracy of the algorithm. Finally, the algorithm is tested and verified based on the experimental conditions of the project team. The test results show that the wind direction compensation algorithm could improve the accuracy of the turbine against the wind by 30.36% and the generating capacity of the optimal power generation condition by 2.82% without increasing hardware. This work is supported by National Key Research and Development Program of China (No. 2018YFB0904000).