Vestas Wind Systems A/s

Ines Pinto Frutuoso

Johnny Nielsen

Jens Van Schelve

Goncalo Artur Duarte Pereira

Goncalo Lucas Marcos

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.

Method of calibrating a reference of a wind turbine

A method for determining a relative position of wind sensors on a wind turbine comprising: obtaining wind data from each of at least two wind sensors installed on a wind turbine at a location where airflow is affected by a rotor of the wind turbine, the obtaining occurring while the rotor is rotating, identifying oscillations in the wind data from each of the wind sensors, determining a phase or amplitude difference between the oscillations, and determining a relative position of the wind sensors based on the phase or amplitude difference.

Wind sensor configuration

The present invention relates to a method of operating a wind turbine with an operational parameter where values of the operational parameter are obtained by different sensors and compared to determine the validity of the value. A first value and a second value of the operational parameter are obtained different sensors and validated by comparing the two values. The wind turbine being operated using a validated value as the operational parameter. The two sensors are selected among a trained machine learning model, a reference sensor and a computerized physical model.

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Viana Do Castelo, Portugal

Ines Pinto Frutuoso