To solve the problem of a mis-calibration of a wind turbine a computer-implemented method for re-calibrating at least one yaw-angle of a wind turbine starting from an initial yaw-angle calibration of said wind turbine, based on determining a turbulence intensity estimation value (20) related to said appropriate yaw-angle (10), wherein the turbulence intensity (TI) being a ratio of wind speed deviation to average wind speed over a pre-determined period of time. Further, to solve the problem of a mis-calibration of a wind turbine a system for re-calibrating at least one yaw-angle of a wind turbine based on above re-calibration method. Further, to solve the problem of a management of a wind park below optimum a computer-implemented method for wind park optimization based on simulation calculation including turbulence intensity estimation values (20) estimating said at least one effecting wind turbine (101,102,103) to suffer from wake from said at least one effected wind turbine (100,101,102). Further, to solve the problem of a management of a wind park below optimum a wind park, including a management system for optimizing that wind park based on above optimization method. Moreover, present invention relates to a computer-readable medium comprising such methods.

The invention relates to a controller for a wind turbine with an operating software for operating the wind turbine, wherein the operating software is set up to regulate or control at least an electrical output of a wind turbine generator, a speed of a wind turbine rotor, an azimuth angle of a wind turbine nacelle, and a pitch angle of at least one rotor blade of the wind turbine rotor, wherein the operating software comprises a core module and at least one customer application. The customer application is set up to determine a parameter, in particular a control variable, in particular a target value, depending on at least one function of the customer application, and provide it for the core module. The core module is set up to detect and/or predict a load acting on the wind turbine during an operation of the wind turbine, and in a case where a detected or predicted load lies below a predefined load limit, to operate the wind turbine as a function of the parameter provided by the customer application, and in a case where a detected or predicted load exceeds the predefined load limit, to adjust the prepared parameter and leave the wind turbine unconsidered as a function of the adjusted parameter or the provided parameter, and operate the wind turbine with a parameter determined in the core module. The controller further has a first programming interface and a second programming interface, wherein the first programming interface is set up to program the core module, in particular the load limits, and wherein the second programming interface is set up to program the customer applications, in particular their function, and prevent the core module from being reprogrammed via the second programming interface. The invention further relates to a method for a controller and a computer program product.

A wind turbine control method involves calculating a value indicative of a misalignment φ of the wind turbine on a basis of at least one signal indicative of wind direction. A determination is made as to whether the value indicative of the misalignment φ of the wind turbine is above a first predefined misalignment threshold value. A value of a blade pitch angle β is adapted. At least one of the blades of the wind turbine is rotated about its longitudinal axis on the basis of the adapted value of the blade pitch angle β.

A method and associated system are provided for determining a yaw heading (θ.sub.heading) of a wind turbine, the wind turbine having a tower and a nacelle that includes a machine head and rotor at a top thereof. The method includes configuring a single rover receiver of a global navigation satellite system (GNSS) at a fixed position relative to the nacelle. A GNSS geographic location of a tower top pivot point (TPP) of the wind turbine is determined, as well as an angular offset of the rover receiver (β.sub.rover) relative to a centerline axis of the nacelle. Based on the GNSS geo-location of the TPP and a GNSS geo-location of the rover receiver, an angular vector () relative to North of a line between the TPP and the rover receiver is determined. The yaw heading (θ.sub.heading) is computed from a difference between the angle () and the angular offset (β.sub.rover) of the rover receiver.

In a vertical rotor apparatus that rotates in response to a moving fluid, a shaft defines an axis of rotor rotation. Rotor blades are longitudinally aligned in parallel with the shaft and each rotor blade defines an axis of blade rotation. A sensor generates a signal when any of the rotor blades are within rotor azimuthal angles of blade stall regions. A controller generates blade pitch information for the blade stall regions and an actuator, which is mechanically coupled to each of the rotor blades, alters blade pitch about the axis of blade rotation in accordance with the blade pitch information.

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.

Systems and methods of autonomous farm-level control and optimization of wind turbines are provided. Exemplary embodiments comprise a site controller running on a site server. The site controller collects and analyzes yaw control data of a plurality of wind turbines and wind direction data relating to the plurality of wind turbines. The site server determines collective wind direction across an area occupied by the plurality of wind turbines and sends yaw control signals including desired nacelle yaw position instructions to the plurality of wind turbines. The site controller performs wake modeling analysis and determines desired nacelle positions of one or more of the plurality of wind turbines. The desired nacelle yaw position instructions systematically correct static yaw misalignment for all of the plurality of wind turbines. Embodiments of the disclosure provide means to perform whole site or partial site level controls of the yaw controllers of a utility scale wind turbine farm. The overall effect of the coordinated yaw control of wind turbines across the whole or partial site is intended to keep the wake loss of the wind turbines from the upstream wind turbines to the minimum and to maximize the production of turbines that are not waking other turbines.

In a vertical rotor apparatus that rotates in response to a moving fluid, a shaft defines an axis of rotor rotation. Rotor blades are longitudinally aligned in parallel with the shaft and each rotor blade defines an axis of blade rotation. A sensor generates a signal when any of the rotor blades are within rotor azimuthal angles of blade stall regions. A controller generates blade pitch information for the blade stall regions and an actuator, which is mechanically coupled to each of the rotor blades, alters blade pitch about the axis of blade rotation in accordance with the blade pitch information.

Methods, apparatuses, and systems for collecting the installation error of the wind vane are provided. The image of the blades of the wind turbine and the outer rotor of the generator is obtained. It is determined whether the wind vane is aligned with the center line of the wind turbine, according to a relationship between the center line of the wind turbine and the orienting plane of the wind vane in the image. In a case that the wind vane is not aligned with the center line of the wind turbine, the deviation angle between the wind vane and the center line of the wind turbine is calculated, and a direction of the wind vane is corrected according to the deviation angle. Therefore, installation errors of the wind vane are accurately determined and corrected, and accuracy is improved for installation of the wind vane.

Embodiments of the present disclosure include a retrofit auxiliary nacelle yaw position control system that enables advanced nacelle yaw position control of a wind turbine by comparing a desired nacelle yaw position signal with the actual nacelle yaw position and generating a virtual relative wind direction signal that is provided to the existing turbine control unit. This method and system enable implementation of wake steering, collective yaw optimization and dynamic yaw optimization of a collection of wind turbines referred to as a wind plant. Modification of the existing turbine control unit is not required, greatly simplifying the implementation process of advanced yaw control strategies on existing wind plants.