A method for determining improved control parameters of a number of 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 the steps of: 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; and deriving, by the processing unit, the control parameters for each of the number of wind turbines from their associated power versus wind speed map.

The present disclosure relates to a method for operating a wind power installation, in particular for identifying unusual oscillation events, and an associated wind power installation and a wind farm. The method comprises the steps of: providing a parametrized limit for a value of an observed oscillation of a component of the wind power installation; determining a current limit from the parametrized limit taking account of at least one current ambient parameter, in particular an ambient parameter that is indicative for the current incident flow; determining a current value of the observed oscillation of the component; comparing the current value of the observed oscillation of the component with the current limit; and operating the wind power installation on the basis of the result of the comparison.

A method for computer-implemented controlling of wind turbines in a wind farm is provided. The wind farm includes an upstream first and a downstream second wind turbines, wherein the following steps are performed: i) obtaining environmental data and stress data of the first wind turbine, the environmental data and the stress data being taken; ii) determining a status information indicating whether or not a predetermined event is present at the time of taking the data, wherein the predetermined event requires immediate controlling of the first wind turbine; iii) broadcasting a message which contains environmental data and a timestamp as event information; iv) evaluating the event information whether or not the predetermined event at the first wind turbine will hit the second wind turbine; v) generating a control command for controlling the second wind turbine in case the evaluation holds that the predetermined event will hit the second wind turbine.

A method for controlling an inclination of a floating wind turbine platform to optimize power production, or to reduce loads on the turbine, tower, and platform, or both, includes receiving data associated with the inclination of the floating wind turbine platform and wind speed and direction data. An angle of difference between the turbine blade plane and the wind direction is determined, where the angle of difference has a vertical component. A platform ballast system is then caused to distribute ballast to reduce the vertical component to a target angle chosen to optimize power production, or reduce turbine, tower, and platform loads, or both.

A system and method are provided for operating a wind farm. Accordingly, a wind direction affecting the wind farm is determined. Based on the wind direction, a controller identifies a turbine cluster, which is a subset of a plurality of wind turbines of the wind farm. The subset includes at least an upwind turbine and a downwind turbine that is affected by a wake emanating from the upwind turbine. With the turbine cluster identified for the given wind direction, the controller then determines a difference between a freestream maximal cluster power output and a wake-affected cluster power output for the turbine cluster. The controller then determines a mitigation setpoint combination for the subset of wind turbines. The mitigation setpoint combination is configured to establish a mitigated cluster power output. Mitigated cluster power output has a difference from the freestream maximal cluster power output that is less than the difference between the freestream maximal cluster power output in the wake-affected cluster power output for the turbine cluster. Based on the mitigation setpoint combination, an operating state of at least one wind turbine of the turbine cluster is changed.

A method of determining a corrected wind speed in the region of a wind turbine including the steps of measuring a wind speed in the region of a wind turbine, determining a force exerted on at least one rotor blade by the wind, determining a wind speed difference value which is dependent on the determined force and determining a corrected wind speed by correcting the measured wind speed in dependence on the wind speed difference value.

A wind turbine for carrying out the method.

The present disclosure relates to methods which comprise receiving a wind direction signal indicative of an instantaneous wind direction at a wind turbine, filtering the wind direction signal to determine a filtered wind direction signal and determining a yaw error signal of the wind turbine indicating a difference between a yaw angle of the wind turbine and the instantaneous wind direction indicated by the filtered wind direction signal. The methods furthermore comprise determining a control signal for a yaw system of the wind turbine based on the yaw error signal. Filtering the wind direction signal comprises applying a low pass filter with a variable time constant, wherein the variable time constant is dependent on a wind condition. The present disclosure further relates to control systems for wind turbines which are configured to implement such methods. The present disclosure further relates to methods of operating wind turbines.

The process involves the creation of an artificial wind within a covered and enclosed powerplant facility in order to initiate the mechanism to rotate several wind motor generators to induce and generate consistent electricity output. A covered plant facility houses multiple wind generators arranged in a random sequence to gain more wind sweep from each turbine of the wind generators. Several powerful blower fans act as prime movers to push atmospheric air inside the wind plant facility. Artificial wind within the facility is thus pushed, controlled, generated and mimics the outside atmospheric condition. A compact wind power generator covered facility shall house several motor wind aerodynamically designed turbines to induce controlled artificial wind condition pushed by powerful blower fans and transfer of energies from mechanical to electric energy to produce consistent and efficient electricity output from several generators lacking in conventional outdoor open air wind farm.

Aspects of the present invention relate to controlling a renewable energy power plant comprising a plurality of wind turbine generators (WTG)s and an energy storage system (ESS). A method includes: controlling the plurality of WTGs to stop generating power, and thereby to enter a non-exporting mode of operation of the renewable energy power plant, during which one or more auxiliary systems of the renewable energy power plant are powered to maintain at least one of the plurality of WTGs in a standby state, operable to start generating power upon demand; wherein the one or more auxiliary systems are powered during the non-exporting mode of operation.

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.