Real Time Wind Field Reconstruction Of Wind Turbine Inflow Based On LiDAR Wind Measurement

With the development of green energy,wind power,solar power,and hydropower have become the focus of global research.Wind turbines increasingly need to improve efficiency and reduce load.Li DAR has many advantages,making its application in wind turbines a solution with high engineering significance.Due to the limitation of the measurement principle,it is difficult to develop the relevant control algorithm based on the Li DAR wind measurement.In addition,the existing Li DAR wind field reconstruction algorithms based on the inflow wind speed evolution model and the Taylor freezing hypothesis have poor estimation performance.Therefore,in order to improve efficiency and reduce load of wind turbines,and combine the application advantages of Li DAR in the field of wind turbines,this article studies the real time wind field reconstruction based on Li DAR,providing a theoretical basis for the application of Li DAR in wind turbines.The main research contents of this artical include:Firstly,based on the vortex cylinder model,a wind turbine induced velocity model is derived.Combined with the tangential vorticity component model,an inflow wind speed evolution model is obtained.This model describes the evolution of wind speed upstream of wind turbines and is the theoretical basis for the wind field reconstruction algorithm of Li DAR.Secondly,based on Fluid Structure Interaction based on dynamic mesh and Computational Fluid Dynamics based on sliding mesh are applied to simulate and calculate the outflow field and aerodynamic characteristics of wind turbines under the conditions of different models and different rotor speeds,and analyze the inflow wind speed evolution characteristics.The simulation results provide a reliable basis for wind field reconstruction.Furthermore,based on the inflow wind speed evolution model and simulation results,a method for processing the amplitude and phase information of Li DAR is proposed.This method considers the effects of pitch angle and tip speed ratio on outflow field,aerodynamic characteristics,and wind speed evolution during the operation of wind turbines.To address the measurement error and processing method error of Li DAR,Autoregressive Integrated Moving Average model and Kalman filtering are used to optimize the amplitude and phase processing results.Finally,according the wind measurement experimental platform based on Li DAR,the on-site measurement experiments are conducted,and the wind field reconstruction algorithm based on experimental data is verified.The experimental results demonstrate the accuracy of the amplitude and phase processing methods and the wind measurement information optimization processing methods.