关键词: 激光点云过滤算法, 风电机组, 多风速, 动态偏航, 负载波动

Abstract: The wind speed exhibits dynamic changes in multiple wind speed ranges due to differences in time periods and altitude levels. Under different wind speed ranges,the operating characteristics and yaw control requirements of the wind turbine vary,which can lead to load fluctuations in the yaw system during dynamic yaw control,increase the number of yaw times,and thus affect the yaw control effect,reducing the power quality of the wind turbine. Therefore,a multi wind speed dynamic yaw optimization control for wind turbines based on laser point cloud filtering algorithm is proposed.Based on the aerodynamic system of the wind turbine unit,a mathematical model is constructed and combined with the laser point cloud
filtering algorithm to set the region of interest, divide it into low, medium, and high wind speed segments, analyze the relationship between wind energy capture coefficient and tip speed ratio, and extract wind field features. Based on blade element theory and wind resource characteristics, the wake field is numerically simulated and the flow velocity is decomposed to reveal the synergistic effect of yaw error and wake interference. Combined with the principle of adaptive pitch optimal torque gain and neural network residual control, dynamic yaw optimization control is achieved for multiple wind speed segments. Through experimental verification,the fluctuation range of the output power of the wind turbine controlled by this method is less than 100 kW,indicating that this method can effectively improve the power quality of wind turbines.

Key words: laser point cloud filtering algorithm, wind turbine, multi-wind-speed, dynamic yaw, load fluctuation