A method includes receiving, via one or more turbine-level controllers, an indication of at least one of a communication loss between the one or more turbine-level controllers and a farm-level controller, a detection of an absence of reactive power regulation by the farm-level controller, or a reactive power command of the farm-level controller being equal to or above a saturation threshold during transitioning between a baseline operational mode and reactive power mode, the reactive power mode being characterized in that only reactive power is generate. Upon receipt of the indication, the method includes adjusting a reactive power response of one or more reactive power regulators of the one or more turbine-level controllers so as to avoid an overshoot reactive power event or an undershoot reactive power event at the point of interconnection.

Techniques for identifying a geographic location of a wind turbine using an image. An image depicting a geographic area is received. A location is identified, in the image, relating to a place where a wind turbine tower depicted in the image meets ground depicted in the image. This includes identifying two objects relating to the wind turbine tower in the image, and distinguishing a bottom end of the wind turbine tower from a top end of the wind turbine tower based on the identified two objects. A geographic location corresponding to the determined image location is determined, based on the image and the determined image location. A location of the wind turbine tower, in a database of wind turbine locations, is updated based on the geographic location.

Disclosed is a method of visually inspecting a wind turbine generator (WTG) and parts thereof during operation. The method comprising acts of pointing a visual inspection system with a field of view about a line of sight in a plane of rotor blade of the wind turbine generator (WTG); of capturing multiple images of the field of view using the visual inspection system; of selecting at least one reference image amongst the captured images or from elsewhere; of comparing the at least one other captured image with the at least one reference image; and thus inspecting structural aspects of the wind turbine generator (WTG) as a function of the result of the act of comparing.

A sensor system for a floating wind turbine is provided. The sensor system includes a wind sensor configured to provide a wind sensor signal indicative of a wind flow; and a processing unit configured to receive the wind sensor signal and to determine, based on the wind sensor signal, information indicative of a spatial arrangement of a floating base of the floating wind turbine relative to an environment of the floating wind turbine. Furthermore, a corresponding floating wind turbine and method of operating a floating wind turbine are provided.

A method of imaging a wind turbine rotor blade is provided, which method includes the steps of controlling a camera to capture a plurality of images, each image showing a part of the rotor blade surface; augmenting each image with geometry metadata; generating a three-dimensional model of the rotor blade from the image metadata; and re-projecting the images on the basis of the three-dimensional model to obtain a composite re-projection image of the rotor blade. Also provided is a wind turbine rotor blade imaging arrangement.

Provided is a method of identification and compensation of an inherent deviation of a yaw error of a wind turbine based on a true power curve. The method, based on a wind turbine data acquisition and monitoring control (SCADA) system includes a wind speed, an active power, and a yaw error and so on, runs data in real-time, first pre-processes the data to a certain degree, and then divides a power curve data according to a certain yaw error interval, fits the power curves according to different yaw error intervals through a true power curve fitting flow in connection with an outlier discrimination method, further quantitatively analyzes the different power curves and determines an interval scope of the yaw error inherent deviation value based on an interval determination criterion, and finally compensates the identified inherent deviation value to a yaw error measurement value.

A wind turbine blade measurement system for optically determining a torsion of a wind turbine blade is disclosed. The wind turbine blade measurement system comprises: a wind turbine blade, which is configured to be mounted to a hub of a wind turbine, a first camera, and an auxiliary camera. The first camera is mounted in a fixed position on a support structure on an exterior surface of the root section of the wind turbine blade and arranged so as to measure along the spanwise direction of the wind turbine blade. The auxiliary camera is arranged at a position outside of the wind turbine blade, the auxiliary camera being arranged so as to being able to carry out measurements of a plurality of sets of markers arranged on the surface of the wind turbine blade and an orientation of at least one of the support structure and the first camera.

The present disclosure relates to methods (100, 200) for controlling and operating wind turbines (10). More particularly, the present disclosure relates to methods and systems for determining a surface condition of one or more wind turbine blades (22) of a wind turbine (10). a method comprises rotating the wind turbine rotor (18) under the influence of a wind in predetermined rotation conditions, wherein the predetermined rotation conditions include at least a predetermined pitch angle (252) of the additional wind turbine blades (222, 223). The method further comprises determining a current value of one or more parameters of the wind turbine (10) when rotating in the predetermined rotation conditions and comparing the current value of the one or more parameters of the wind turbine with one or more reference values (37) to determine the surface condition of the wind turbine blades (22).

A computer system suitable for estimating the expected change in annual energy production (AEP) of a wind turbine due to structural deterioration of blades of the wind turbine, said computer system being arranged to execute the following steps: loading a dataset representing estimated lift and drag curves at specific radial locations along the original blade of the wind turbine, building a baseline BEM model of the wind turbine based on said estimated lift and drag curves of the original blade and analysing the model to provide a baseline AEP estimation of the wind turbine with original blades, loading a dataset representing aerodynamic effects of identified structural deteriorations at specific radial locations along each of the blades of the wind turbine, using the dataset of aerodynamic effects to generate modified lift and drag curves at specific radial locations along each of the blades.

The present invention provides a method of operating a wind turbine. The wind turbine comprises at least one rotatable blade. The method comprises the steps of providing a load sensor configured to generate a load signal representing loading on the blade, generating a first load signal when the blade is in a first position, and generating a second load signal when the blade is in a second position. Additionally, the method comprises steps of detecting a rotational speed of the blade, calculating a weight force on the blade based on the first and the second load signal, and calculating a centrifugal force on the blade based on the first and the second load signal. Subsequently, the weight force is compared with a predetermined weight force, and the centrifugal force is compared with a predetermined centrifugal force at the detected rotational speed. Finally, a risk of ice throw is determined based on the comparisons of the weight force and the centrifugal force with the predetermined forces.