基于超短时风况预测的偏航控制策略优化

The yaw control strategy optimization based on ultra-short time wind forecast

为解决风电机组偏航控制参数统一设定与偏航对风动作启动滞后的问题,文章提出了一种基于风向波动特征评估与多目标粒子群算法的偏航控制参数优化方法。以一段时间内机组的发电量与偏航控制下机舱转过角度为优化目标,对不同风速区间下的偏航控制参数进行优化。基于VMD-EEMD-LSTM-LSSVM风况预测模型的偏航控制策略优化方法,通过对一段时间内平均风速的预测,提前设定优化后的偏航控制参数,通过风向的预测,判断并控制偏航对风动作是否提前启动。算例分析结果表明,该策略可以有效地提高风电机组的发电量,减少偏航控制下的机舱转过角度,有利于提高风电场的经济效益。

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.