The yaw control strategy optimization based on ultra-short time wind forecast
In order to solve the problem of unified setting of yaw control parameters of wind turbines and the delay of yaw start-up of wind operation,a yaw control parameter optimization method based on wind direction fluctuation characteristic evaluation and multi-objective particle swarm optimization algorithm was proposed.The yaw control parameters under different wind speed ranges were optimized by taking the power generation of the unit and the rotation Angle of the engine room under yaw control as optimization objectives.A yaw control strategy optimization method based on VMD-EEMD-LSTM-LSSVM wind condition prediction model is proposed.Through predicting the average wind speed in a period of time,the optimized yaw control parameters are set in advance,and through predicting the wind direction,whether yaw starts in advance to the wind action is judged and controlled.The results of example analysis show that this strategy can effectively improve the power generation of wind turbines and reduce the cabin rotation Angle under yaw control,which is beneficial to the economic benefit of wind farms.
wind turbinewind direction fluctuation characteristic assessmentmultiobjective particle swarmwind direction and speed predictionyaw control parameter optimization
万方数据
维普
