Abstract: A yaw auto-calibration method configured to calibrate at least one anemometer of a yaw control system to correct for yaw misalignment. The yaw auto-calibration method includes collecting wind turbine data over a plurality of time periods with respect to the at least one anemometer. The wind turbine data including one or more of mechanical speed, wind speed, turbine power, and wind direction. The method includes determining from the collected data a wind direction compensation signal associated with a plurality of operational parameter ranges and the wind direction compensation signals correspond to the effects on the at least one anemometer due to yaw misalignment. The method further includes providing the wind compensation signals to the yaw control system to adjust the wind direction data of the at least one anemometer for each of the associated operational parameter ranges.

Abstract: A yaw auto-calibration method configured to calibrate an anemometer of a yaw control system to correct for yaw misalignment, includes collecting wind speed and wind direction data from the anemometer over a plurality of time periods. The method includes determining from the collected data a wind direction compensation signal associated with a plurality of wind speed ranges. The step of determining a wind direction compensation signal includes determining from a plotted performance value, a maximum performance value for each wind speed range and the step of determining further includes correlating the maximum performance value for each wind speed range with the associated average generator speed and plotting the maximum performance wind direction against average generator speed for each wind speed range. The maximum performance wind direction associated with the average generator speed for each wind speed range constitutes the wind direction compensation signal for the wind speed range.

Abstract: A yaw auto-calibration method configured to calibrate at least one anemometer of a yaw control system to correct for yaw misalignment. The yaw auto-calibration method includes collecting wind turbine data over a plurality of time periods with respect to the at least one anemometer. The wind turbine data including one or more of mechanical speed, wind speed, turbine power, and wind direction. The method includes determining from the collected data a wind direction compensation signal associated with a plurality of operational parameter ranges and the wind direction compensation signals correspond to the effects on the at least one anemometer due to yaw misalignment. The method further includes providing the wind compensation signals to the yaw control system to adjust the wind direction data of the at least one anemometer for each of the associated operational parameter ranges.

Abstract: A yaw auto-calibration method configured to calibrate an anemometer of a yaw control system to correct for yaw misalignment, includes collecting wind speed and wind direction data from the anemometer over a plurality of time periods. The method includes determining from the collected data a wind direction compensation signal associated with a plurality of wind speed ranges. The step of determining a wind direction compensation signal includes determining from a plotted performance value, a maximum performance value for each wind speed range and the step of determining further includes correlating the maximum performance value for each wind speed range with the associated average generator speed and plotting the maximum performance wind direction against average generator speed for each wind speed range. The maximum performance wind direction associated with the average generator speed for each wind speed range constitutes the wind direction compensation signal for the wind speed range.