A load control method and a load control apparatus for a wind turbine generator system are provided, and the load control method includes: obtaining feature parameters of the wind turbine generator system for load prediction; obtaining a load estimation value of the wind turbine generator system by inputting the obtained feature parameters into a virtual load sensor; adjusting a control strategy of the wind turbine generator system based on the obtained load estimation value. A controller and a computer readable storage medium storing a computer program are further included. With the load control method and apparatus for the wind turbine generator system, a trained virtual load sensor can be used to realize real-time monitoring of the load of the on-site wind turbine generator system, and a reference for adjusting the control strategy can be provided according to the load.

A wind turbine monitoring device for monitoring a wind turbine including a lightning sensor for detecting a lightning strike on a wind turbine blade includes a lightning parameter acquisition part configured to acquire at least one lightning parameter based on an output of the lightning sensor, a lightning level determination part configured to determine a level of the lightning strike based on the at least one lightning parameter acquired by the lightning parameter acquisition part; and an inspection control part configured to judge whether it is necessary to automatically inspect the wind turbine blade by at least one inspection unit for inspecting the wind turbine blade, according the level of the lightning strike determined by the lightning level determination part.

An abnormality determination method for a wind power generation device includes: a measurement step (step S1) of measuring sound emitted by the wind power generation device and recording acoustic data; an analysis step (step S2) of performing a spectrogram analysis on the acoustic data recorded in the measurement step, on a frequency axis and in a temporal axis space as a temporal change in a frequency characteristic by using the short-time Fourier transform or the wavelet transform; a detection step (step S3) of detecting, from the analysis result in the analysis step, a signal component emitted from an abnormal portion of the wind power generation device in a time corresponding to rotation of the wind power generation device; and a determination step (step S5) of determining that the wind power generation device is abnormal when the signal component detected in the detection step is greater than or equal to a certain threshold value.

A damage assessment arrangement for assessing the extent of damage to a lightning receptor electrically connected to a down conductor of a wind turbine rotor blade includes a measurement pulse module including a pulse generator arranged to transmit a pulse into one end of the down conductor and a return signal detector arranged to detect the return signal; a return signal analysis module configured to determine the extent of alteration of the return signal relative to an expected return signal; and a damage estimation module configured to relate the relative extent of alteration to a measure of damage to rotor blade LPS. The following further describes a wind turbine with such a damage assessment arrangement; and a method of assessing the extent of damage to a rotor blade LPS.

In order to provide an improved and cost-efficient method and tool for performing a defect detection procedure aiming at the detection of a defect underneath an outer protection layer covering the leading edge of a wind turbine generator blade a method is described during which a tool tip is being biased against the surface of the outer protection layer while being guided over the outer protection layer and deviations in the uniformity of the at least one feedback value are sensed to identify potential defects. A tool and a detection unit suitable for the described method is also described.

The present disclosure relates to methods (400, 500) for reducing vibrations in parked wind turbines (10), assemblies (82) comprising vibration mitigating devices (300) for wind turbine blades (22) and wind turbines (10). An assembly (82) comprises a vibration mitigating device (300) configured to be arranged around a wind turbine blade (22) of a wind turbine (10) and comprising one or more inflatable bodies (305) and one or more air flow modifying elements (310); and a pressure source (98) configured to inflate and/or deflate one or more of the one or more inflatable bodies (305) based on measurements of a sensor system (97) configured to monitor the wind turbine (10) and/or environmental conditions around the wind turbine (10).

A load mitigation arrangement of a non-mounted rotor blade, includes at least one actuatable lift-modification device arranged on a surface of the rotor blade; a monitor configured to estimate the magnitudes of loads acting on the non-mounted rotor blade; a controller configured to actuate the lift-modification device on the basis of the estimated magnitudes to mitigate the loads acting on the non-mounted rotor blade. Further provided is a rotor blade assembly, and a method of performing load mitigation on a non-mounted rotor blade.

An apparatus 100 for determining orientation of a segment 32 and 30 of a wind turbine blade 28 is disclosed. The apparatus includes an elongated member 1 and a support plate 2 provided at one end of the elongated member 1. The support plate 2 is defined with one or more provisions 4 to facilitate connection with the segment 32 and 30 of the wind turbine blade 28. Further, a measuring plate 3 is provided at another end opposite to the one end of the elongated member 1, where the measuring plate 3 is defined with a substantially airfoil profile 35. The measuring plate 3 includes a plurality of markers 18 disposed along an airfoil region 34 where, each of the plurality of markers 18 is indicative of one or more of multiple parameters to determine the orientation of the segment 32 and 30.

FIG. 6 is the representative figure.

A wind power generation device control system includes: a blade wind detecting device for detecting at least one of a wind direction or a wind speed on at least one blade of a wind power generation device; and a blade control device for controlling at least one of (i) a pitch angle of the at least one blade or (ii) a yaw angle of the wind power generation device, based on at least one of the wind direction or the wind speed detected by the blade wind detecting device.

A method for detecting and responding to damage in a rotor blade of a wind turbine includes monitoring at least one signal of a pitch actuator of a pitch system of the rotor blade of the wind turbine. The signal(s) is a proxy for a pitch driving torque of the pitch actuator of the pitch system. Thus, the method includes defining a metric that captures certain behavior of the proxy for the pitch driving torque of the pitch actuator of the pitch system. The method further includes comparing the metric to a corresponding metric associated with a reference rotor blade representing a healthy rotor blade. Moreover, the method includes implementing a control action when the metric is outside of a predetermined range defined by the healthy rotor blade.