Wind Power And Load Control Based On Photoelectric Information Detection And Fusion

Photoelectric detection has the advantages of high precision,small volume,low delay and so on.Compared with traditional sensor detection,it is widely used in environmental monitoring,industrial monitoring and other fields,and has a good application prospect.Based on the application background of power and load control of wind turbine,the paper uses the methods of lidar wind speed detection and FBG blade load detection to detect the state variables needed for wind turbine control,and designs the maximum power tracking and independent pitch load control strategies for different operation areas of wind turbine.Firstly,this paper discusses the research status of wind speed and blade load detection technology of wind turbine.Aiming at the low reliability and low sensitivity of the traditional detection methods,the wind speed detection method based on lidar and the blade load detection method based on FBG are proposed.In order to verify the accuracy of lidar wind speed,through the data of wind wheel torque and rotation speed of wind turbine SCADA system,a more reliable estimate of wind speed is obtained,and the estimated wind speed is compared with the wind speed measured by anemometer and lidar respectively,which verifies that the accuracy of lidar measured wind speed data is higher.Because the maximum power tracking control needs to estimate the wind speed to calculate the wind turbine to get the best reference value of wind turbine speed and generator torque,so it directly uses the wind speed data of lidar to calculate and deduce the best reference value of wind turbine speed and generator torque.Aiming at the problems of poor accuracy,noise interference and temperature sensitivity of FBG in the process of fan blade load detection,a data fusion method based on Gauss regression algorithm is designed.This method can extract effective measurement data from the sampling data of multiple sensors and carry out information fusion,and then get the effective value of blade load,which is compared by experiments verify the feasibility and effectiveness of the method.The corresponding controller is designed for the wind turbine in different operation areas.The control target of low wind speed area is to realize the maximum power tracking of wind turbine.Firstly,the optimal torque setting value is obtained through the wind speed detection and calculation of lidar.Then,based on the traditional sliding mode control,the super twist optimal torque maximum power tracking control method is designed.The simulation results show that the method has better power tracking performance and effectively suppresses frequent rotation The control target of high wind speed area is to restrain the load of fan blade.The load information of blade root after Coleman transformation of the load data measured by fiber Bragg grating is taken as the output measurement value of independent pitch control.On this basis,LQG + integral independent pitch control is designed,.In order to compensate the influence of wind speed fluctuation on wind load and further improve the control performance of the system,a feedforward controller based on lidar wind speed measurement is designed.The experimental results show that the above design method can better suppress the blade load.