A system and method are provided for controlling a wind turbine of a wind farm. Accordingly, a controller prepares a yaw bias correction function based, at least in part, on a yaw offset function, and on wind speed measurement data and wind direction reference data of a wind event acting on at least a portion of the wind farm. The controller also applies the yaw bias correction function based at least in part on position data of a nacelle of the wind turbine, to yaw the nacelle of the wind turbine.

A load sensor calibration method and apparatus, and a computer-readable storage medium are provided. The load sensor calibration method includes: acquiring operation data of a wind turbine generator set, wherein the operation data comprises data of the wind turbine generator set operating in a normal operating state or data of the wind turbine generator set operating under different predetermined pitch angle idling states; generating a calibration training set on the basis of the operation data; and calibrating a load sensor according to the calibration training set.

A computer-implemented method for calibrating a nacelle position of at least one wind turbine in a wind farm is provided having a plurality of spatially distributed wind turbines, in which a first calibration step of recalibrating a precalibrated nacelle position of at least one wind turbine is followed by a second calibration step, in which a wind direction sector specific further recalibrating of the nacelle position of the at least one wind turbine to be calibrated is performed by applying a wind direction sector specific correction value for an identified wind direction sector to the previously obtained calibrated nacelle position.

A method of calibrating a reference of a wind turbine. The method comprises monitoring performance of the wind turbine over a calibration period to generate performance data, wherein the calibration period comprises a series of sub-periods. The reference is calibrated by: setting the reference on the basis of the performance data; and, for each sub-period: determining a sub-period value on the basis of the performance data generated during that sub-period, comparing the sub-period value with the reference, and updating the reference with the sub-period value if the comparison shows that a performance of the wind turbine indicated by the sub-period value is better than a performance of the wind turbine indicated by the reference. The comparison and updating steps enable the reference to more accurately reflect more recent performance of the wind turbine. The method can also be reliably used in freezing temperatures.

A method of calibrating a yaw actuator of a wind turbine is provided, including steps of performing an active yaw operation in a clockwise yaw direction and an active yaw operation in a counter-clockwise yaw direction; recording data of a wind direction and a power caused by both yaw operations, and averaging the data and calculating an error between an experimental power difference and a theoretical power difference of yaw operations in the clockwise direction and a counter-clockwise direction; determining a minimum of the error; and determining a yaw misalignment based on the minimum error.

A method of calibrating a reference of a wind turbine. The method comprises monitoring performance of the wind turbine over a calibration period to generate performance data, wherein the calibration period comprises a series of sub-periods. The reference is calibrated by: setting the reference on the basis of the performance data; and, for each sub-period: determining a sub-period value on the basis of the performance data generated during that sub-period, comparing the sub-period value with the reference, and updating the reference with the sub-period value if the comparison shows that a performance of the wind turbine indicated by the sub-period value is better than a performance of the wind turbine indicated by the reference. The comparison and updating steps enable the reference to more accurately reflect more recent performance of the wind turbine. The method can also be reliably used in freezing temperatures.