Research On Yaw Control And Parameter Optimization Of Large Scale Wind Turbine

The yaw system is an important part of the horizontal axis wind turbine generator,also known as the facing wind device.Its main function is to make the unit can accurately track the wind direction,make full use of wind energy and improve the efficiency of power generation by adjusting the position of the cabin.At present,the yaw system of wind turbine is mainly divided into passive yaw system and active yaw system.the active yaw system is adopted in large wind turbines.The effect of yaw control is directly related to the overall performance of the wind turbine.In order to improve the stability and robustness of the yaw system,and the maximum capture of wind energy in the wind power system is guaranteed,many different control methods have been studied at home and abroad.However,due to the particularity and complexity of the yaw system,and the wind turbine is moving towards large scale,theexisting control effect has been unable to meet the higher requirements for the yaw performance of large units.The paper is on the basis of analyzing the structure and work principle of large wind turbine yaw system,a new control strategy based on model prediction is designed.The three closed-loop yaw control model including current loop,speed loop and position loopis simulated and compared with the conventional PID control.The model has better control effect.The simulation results verify the feasibility and practicability of the proposed method.In addition,large wind farms are uniformly specified yaw parameters the same type unit,ignore the performance differencesbetween the different units in the same wind field,the same set of different wind conditions,may lead to frequent movement of units or wind misalignment,also affected the power generation and the fatigue performance of the unit.The yaw control parameters for large wind turbine currently used encounters the problem of low–level adaptability to the environment and low control accuracy.The SCADA data of the unit is analyzed and calculated to determine the dividing line of the yaw control region,and the available wind speed can be divided into high,medium and low three wind speed range.Then,using the bacterial colony chemotaxis algorithm based on population information interaction strategy to search for the yaw control parameters,get each wind speed interval optimization of yaw deviation threshold and delay time,and increase the power generation capacity in the premise of ensuring the yaw ratio to meet the relevant requirements,so that the wind farm to obtain greater economic benefits.