Design And Optimization Of Yaw System For MW Wind Turbine

With the development of social economy and the worsening of environment,Wind energy is a kind of new green renewable resources,praised by all sectors of society.To obtain more effective wind energy resources,the yaw control system as an important part of the wind turbine,which plays a very important role,has high anti-interference ability and stability.In this paper,the yaw control system of megawatt wind turbine is taken as an object,and the problem of maximum wind energy acquisition in yaw control system is discussed.This article discusses the basic theory.In order to capture wind energy to the greatest extent,this paper designs the corresponding control strategy and optimizes the design of different change range of wind direction.In view of the large range change of the wind direction variation greater than 15 degrees,the paper uses the traditional vane sensor control strategy,uses the mean wind direction of 30 s and mean wind direction of 1min to improve the measurement precision of vane sensor.In this paper,the control strategy and the control flow of the yaw control system are designed,and the simulation model of the yaw controller is built on this basis.According to the optimization results,the optimization method used in this paper has a good effect.In view of the change of wind direction less than 15 degrees,this paper puts forward the yaw system control strategy based on hill-climbing algorithm.The paper analyzes the basic principle of hill climbing algorithm and designs the power control process and the whole process of yaw control.On this basis,this paper analyzes the model of the impeller,the variable pitch controller and the torque controller,and establishes the corresponding simulation model.The simulation model of wind turbine yaw control system is established further more.Then the generator power is simulated and verified on the MATLAB/Simulink simulation platform.According to the search results of the hill-climbing algorithm,it can be seen that the hill-climbing algorithm introduced in this paper is feasible and effective.