Data-driven Diagnostic Method of Zero-point Drifting of Wind Turbine Yaw Angle

In order to eliminate the zero-point drifting of wind turbine yaw angle, a diagnosis method based on hypothesis test is proposed. By determining the sensitive wind speed interval of the wind turbine and detecting the power distribution, the yaw angle interval where the yaw angle zero-point drifting is located is determined, and the diagnosis is made. The effectiveness of the proposed method is verified by taking the operation data of two wind turbine SCADA systems as an example. The results show that the proposed method can accurately quantify the data distribution differences of different yaw error intervals and has high accuracy in the diagnosis of yaw angle zero-point drifting.