基于实际功率曲线阈值筛选的风电机组偏航误差算法研究

Research on Yaw Error Algorithm of Wind Turbine Based on Actual Power Curve Threshold Screening

现有风电机组偏航误差评估方法多借助激光雷达或依赖长期(大于3个月)运行数据。针对新机组首次维护前的短期运行数据偏航误差计算问题,提出一种基于实际功率曲线阈值筛选的偏航误差算法。首先,通过Bin法求解机组实际功率曲线,利用实际功率曲线阈值方法在无需机舱传递函数(NTF)的条件下剔除可能降低计算准确度的数据;其次,对筛选后的数据集做风速分仓,利用区间均值法求解各风仓代表偏航误差;最后,使用风速加权法求解偏航误差。在江苏某陆上风电场的实践应用表明,所提出的算法针对短期和长期运行数据均可获得有效的偏航误差计算结果。

Existing methods for evaluating yaw error of wind turbine often rely on lidar or long-term(more than three months)operating data.A yaw error algorithm based on actual power curve threshold screening was proposed for calculation of short-term operating data yaw error before the first maintenance of new units.Firstly,the Bin method was used to solve the actual power curve of unit,and the threshold method of the actual power curve was used to eliminate data that may reduce calculation accuracy with no need for nacelle transfer function(NTF).Then,the selected dataset was divided into wind speed compartments,and interval mean method was used to solve the representative yaw error of each wind compartment.Finally,wind speed weighting method was used to solve the yaw error.Through practical application in an onshore wind farm in Jiangsu,it shows that the proposed algorithm can obtain effective yaw error calculation results for both short-term and long-term operating data.