基于集群相似的风力发电机组偏航角度估值方法研究

Research on Yaw Angle Estimation Algorithm of Wind Turbine Based on Cluster Similarity

主要研究了一种基于集群相似的风力发电机组偏航角度估算方法,用于通过风场内临近机组数据估算当前机位偏航角度,并讨论了估值偏航角度潜在的应用场景:风向标损坏后的容错运行及机组对风系统运行状态监测。采用该算法基于SCADA数据对含有33台风机的某风电场机组的偏航角度进行了估算,并与实际偏航角度对比进行误差分析,以评估该算法实际应用的可能性。

This paper mainly studies a yaw angle estimation method for wind turbines based on cluster similarity,which is used to estimate the yaw angle of the current stand based on the data of adjacent units in the wind farm.The potential application scenarios of the estimated yaw angle are also discussed:fault-tolerant operation after the wind vane is damaged and the monitoring of the operating state of the wind system by the unit.Based on the SCADA data of a wind farm with 33 wind turbines,the algorithm is used to estimate the yaw angle,and the error is analyzed by comparing with the actual yaw angle to evaluate the possibility of practical application of the algorithm.