The present invention relates to a method for determining a correction function for a wind turbine, to a method and a system for determining an alignment correction function for a nacelle of a wind turbine, and to a method for operating a wind turbine. A power measure of the wind turbine, a leeward wind direction, and a leeward wind speed are measured, a multiplicity of measurement values being recorded over a defined time period in each case. The measurement values of the power measure and of the leeward wind direction are assigned to measurement values of the leeward wind speed, corrected by means of a correction function, that are grouped into at least one wind-speed bin, on the basis of instants at which the measurement values were recorded. A model function is determined and outputted for a relationship between the power measure and the leeward wind direction for the at least one wind-speed bin, and an alignment correction function is determined for a target alignment of the nacelle relative to the measured leeward wind direction, on the basis of the model function.

A wind turbine includes a hub configured to rotate about an axis at a first rotation speed and at least one blade coupled to the hub. The wind turbine also includes a sensor assembly configured to detect at least one characteristic of wind flowing through the wind turbine. The sensor assembly is mounted to the hub. The sensor assembly includes a laser device configured to emit a laser beam and at least one optical element configured to direct the laser beam. The sensor assembly also includes a non-motorized mechanism configured to rotate the at least one optical element at a second rotation speed when the hub rotates at the first rotation speed. The second rotation speed is greater than the first rotation speed.

A method for reducing noise of a wind turbine includes monitoring, via one or more sensors, a wind speed at the wind turbine. The method also includes determining, via a turbine controller, a nominal wind direction for producing rated power of the wind turbine. Further, the method includes determining a pitch angle of at least one rotor blade of the wind turbine. As such, the method includes determining a yaw offset for a nacelle of the wind turbine based on the wind speed and/or the pitch angle. Thus, the method further includes changing a yaw angle of the nacelle by the yaw offset when the wind speed exceeds a predetermined threshold so as to reduce noise of the wind turbine.

Summarizing, the present invention relates to a control system for a wind turbine includinga feed forward controller having a rotor effective wind speed of the wind turbine as an input parameter and having a plurality of output parametersa feedback controller wherein an input parameter is based on a rotor speed or a generator speed of the wind turbine and having at least one output parameter and wherein o one output parameter of the feed forward controller is provided to the feedback controller as an input parameter and o another output parameter of the feed forward controller is used as a feed-forward control parameter for controlling the wind turbine and o one output parameter of the feedback controller is used as a feed-back control parameter for controlling the wind turbine, as well as a wind turbine and a control method.

The present application provides a control method and a control device (710) for a wind turbine (720). The control method includes: acquiring incoming wind information of the wind turbine (720); determining whether there is a sector with a complex wind condition around the wind turbine (720) based on the acquired incoming wind information; in response to determining that there is a sector with a complex wind condition around the wind turbine (720), performing feed-forward load reduction control on the wind turbine (720) based on the complex wind condition.

The present subject matter is directed to a system and method for sequencing Light Detecting and Ranging (LIDAR) sensor beam signals from a LIDAR sensor mounted on a nacelle of a wind turbine with the rotor position of the wind turbine so as to improve signal availability. More specifically, the method includes generating, via the LIDAR sensor, one or more laser signals towards the rotor of the wind turbine, the rotor having one or more rotor blades. The method also includes receiving, via a controller, a rotor position of the rotor of the wind turbine. Thus, the method further includes coordinating, via a control algorithm programmed within the controller, the rotor position with the one or more laser signals of the laser sensor so as to minimize interference between the laser signal(s) and the rotor blades during rotation of the rotor.

The present invention relates to controlling a wind turbine with an updated power coefficient. The updated power coefficient being adjusted by a degradation function which is determined in an iterative adjustment process. The wind turbine is controlled in partial load operation mode based on a tip-speed ratio (TSR) tracking scheme based on an estimated wind speed. The iterative adjustment process comprises operating the wind turbine to obtain a measurement set. The degradation function that represents the values of the measurement set is calculated and assigned to the mean operating TSR of the measurement set. The iterative process is continued until a difference between the selected TSR and the mean operating TSR is below a preset difference. A continuous degradation function for a range of the mean operating TSR value(s) is thereby obtained to determine an updated power coefficient to be used as the operating power coefficient.

A method of controlling at least one adaptable airflow regulating system, in particular spoiler and/or flap, of at least one rotor blade of a wind turbine having a wind turbine tower includes: determining a quantity related to a distance between the rotor blade and the wind turbine tower; controlling the airflow regulating system based on the quantity.

Controlling a wind turbine including measuring a wind speed for a location upwind of a wind turbine. Using the measured wind speed, a changed steady-state deflection of a structure of the wind turbine is predicted. The predicted changed steady-state deflection corresponds to a time when wind from the location is incident on the wind turbine. Oscillations of the structure are damped relative to the changed steady-state deflection. By damping the oscillations relative to the changed steady-state deflection, movements of the structure may be minimized when there is no predicted change in steady-state deflection, while permitting more rapid movements during transitions from one steady-state deflection to the predicted steady-state deflection, allowing more of the available power to be captured by the wind turbine.

The present invention is a wind farm control method, wherein a reinforcement learning method (RL) is implemented in a decentralized manner (for each wind turbine). The reward (REC) is calculated according to a wake propagation delay (DEL). Thus, the reward is truly representative of the effect of the last action (previous yaw control for example).