Research On Application Of Lidar Wind Measurement Reconstruction Technology In Wind Turbines

Lidar wind measurement,as a precise sensing method of incoming wind ahead of a certain time margin,has been proved to be very useful in the control application of wind energy industry.Because the data measured by lidar is the line of sight wind speed along the beam direction of lidar,not the actual wind speed reaching the wind wheel surface,it can not be directly used as an input signal to participate in the control.So it is very important to research and develop the wind speed reconstruction algorithm based on lidar wind data to provide reliable and effective input signals for lidar auxiliary feedforward control system.In this paper,the lidar wind data of a large onshore wind turbine unit developed by China haizhuang Wind Power Co.,Ltd.is taken as the research object.The main research work is as follows:1)Lidar wind data preprocessing.The data collected by the lidar on its own basis was converted to an inertial coordinate system to correct the data to solve the effect of cabin vibration on the lidar measurement data;the data filling and fitting algorithm was developed to solve the problem of missing lidar data caused by blade occlusion.2)Analysis and establishment of wind speed reconstruction model.The coupling relationship between lidar wind data and wind speed model expressed by wind field characteristic parameters is analyzed and established,and then the characteristic parameters of the measured plane wind field are solved.Finally,the effective wind speed of the rotor on the wind wheel surface is calculated based on the Taylor frozen turbulence hypothesis and the characteristic parameters of the wind field.3)The experimental data of lidar verify the validity of the algorithm.The wind speed derivation model algorithm based on the cabin control parameters is established to solve the effective wind speed of the rotor on the real wind wheel surface,which is used to verify the accuracy and effectiveness of the improved wind speed reconstruction algorithm developed based on the actual wind measurement data of lidar.