A system and method are provided for controlling a wind turbine based on a collective pitch-offset. Accordingly, a wind condition acting on a rotor of the wind turbine is determined, and a first collective pitch angle for the plurality of rotor blades is set, and the wind turbine is operated. A thrust of the rotor based, at least in part, on the wind condition is determined, and an actual collective pitch angle is calculated. A collective pitch offset is determined based on the difference between the first collective pitch angle and the actual collective pitch angle. The collective pitch offset is integrated with at least one pitch setpoint command. The at least one pitch setpoint command is transmitted to a pitch control mechanism of the wind turbine.

The present invention provides a method of estimating an orientation of a wind turbine. The method comprises determining, using a polarising light compass of the wind turbine, a sun polarisation value, and determining a yaw angle of the wind turbine associated with the sun polarisation value. A sun direction vector is determined based on the sun polarisation value and the associated yaw angle; and an orientation of the wind turbine is estimated relative to a fixed direction using the sun direction vector.

A method for computer-implemented maximization of annual energy production of several wind turbines of a wind park is provided. The method considers the impact of individual turbine manufacturing tolerances on the turbine performance, thereby avoiding under-utilization of those wind turbines. The method includes: receiving, by an interface, one or more actual manufacturing tolerances of characteristic values for each of the number of wind turbines; determining, by a processing unit, for each of the number of wind turbines a power versus wind speed map which is calculated from a given turbine model with the one or more actual manufacturing tolerances of the respective wind turbines as input parameters; determine, based on the power versus wind speed map of each of the number of wind turbines a respective performance measure; and assign a selected siting position for each wind turbine in the wind park according to its determined performance measure.

A method for controlling wind alignment correction of a wind turbine comprises: acquiring environmental wind speed values, wind alignment angle measured values, and generated power values of the wind turbine in real time; dividing each acquired environmental wind speed value into multiple wind speed sections according to the magnitude of the environmental wind speed value, and extracting wind alignment angle measured values and generated power values in at least one wind speed section; determining a maximum value of extracted generated power values in each wind speed section; calculating a wind alignment correction deviation of the wind turbine according to a wind alignment angle measured value corresponding to the maximum value; and performing correction processing on a subsequently acquired wind alignment angle measured value by using the wind alignment correction deviation.

Disclosed is a method for estimating systematic yaw misalignment of a wind turbine. The method comprising the steps of: receiving yaw data from the wind turbine indicative of the degrees of rotation of the nacelle for a plurality of yaw operations; receiving performance data from the wind turbine indicative of the alignment of the nacelle of the wind turbine with the wind direction before and after each of the plurality of yaw operations. The yaw data and the performance data being recorded during normal operation of the wind turbine, and the yaw data and the performance data is processed together to estimate the systemic yaw misalignment of the wind turbine.

A method, device and system for determining angle-to-wind deviation and correcting angle-to-wind; the method for determining angle-to-wind deviation comprises: obtaining historical operation data of a wind turbine group during a specific time period (S101); determining an angle-to-wind deviation value for each wind speed segment on the basis of the acquired historical operation data (S102); for any wind speed segment, determining the angle-to-wind deviation value on the basis of the actual angle-to-wind measurement value and the output power value of an environmental wind speed value at a time point within the specific time period.

Calculating a wind speed associated with a return period at a proposed wind turbine site. The method comprises selecting a first set of storms from wind speed measurements measured at the proposed site, and selecting a second set of storms from modelled wind speeds, the modelled wind speeds being estimates of wind speeds at the proposed wind turbine site during the measurement period from a mesoscale data set. A comparison is made of characteristic wind speeds of the first and second sets of storms to determine a correction factor. A third set of storms is selected from an extended set of modelled wind speeds from an extended mesoscale data set, and the correction factor is applied to characteristic wind speeds of the third set of storms to provide corrected wind speeds. A wind speed associated with the return period is calculated from the corrected characteristic wind speeds.

A wind turbine system comprising: a wind turbine; and a monitoring system, wherein the wind turbine comprises: a tower; an arm extending from the tower, a rotor-nacelle assembly (RNA) carried by the arm; and a Global Navigation Satellite System (GNSS) sensor carried by the arm or the RNA. The monitoring system is configured to receive position data from the GNSS sensor and obtain a moment or force measurement on the basis of the position data.

Disclosed is a method of monitoring relative blade pitch angle alignment of a set of at least two rotor blades in a rotary device. The rotary device may be a wind turbine generator. Also disclosed are operational schemes based on the observed relative blade pitch angle alignments.

A method calibrates a load sensor in a rotor blade of a wind turbine. The method includes checking a state and/or operating parameters of the wind turbine; continuously measuring a calibration condition for the wind turbine and comparing the measured calibration condition with predefined calibration prerequisites; switching to a calibration mode when the measured calibration condition meets the predefined calibration prerequisites or switching to a restricted production mode when the measured calibration condition does not meet the predefined calibration prerequisites; and, collecting measurement data in the calibration mode. The calibration mode is terminated when the required data have been collected for the calibration; and, switched from the calibration mode to an interruption mode. The mode is switched from the interruption mode to the restricted production mode when the measured calibration condition does not meet the predefined calibration prerequisites for longer than a predefined period of time.