A method of operating a wind turbine for controlling wake wherein the wind turbine includes at least a rotor blade and a plurality of aerodynamic devices for influencing the airflow flowing on the rotor blade, the aerodynamic device being movable between at least a respective first configuration and a second respective configuration, the method including the step of moving the aerodynamic device between the first configuration and the second configuration for influencing a wake generated by the wind turbine.

Methods, systems, and devices for controlling a yaw offset of an upstream wind turbine based on reinforcement learning are provided. The method includes receiving data indicative of a current state of the first wind turbine and of a current state of a second wind turbine adjacent to the first wind turbine downstream along a wind direction, determining one or more controlling actions associated with the yaw offset of the first wind turbine based on the current state of the first wind turbine, the current state of the second wind turbine, and a reinforcement learning algorithm, and applying the determined one or more controlling actions to the first wind turbine.

A wind farm/park having a plurality of spatially distributed wind turbines, including at least one upstream wind turbine and at least one downstream wind turbine. Each wind turbine includes a rotor with at least two blades. At least one downstream wind turbine is affected under certain wind conditions by a wake region generated by the upstream wind turbine and containing helical vortex structures formed at the tip of the blades of the upstream wind turbine. A geometry or configuration of one or more of the rotor blades of the upstream wind turbine is different from a geometry or configuration of the other blade(s) of the upstream wind turbine thereby creating a fixed asymmetry in the blade configuration so as to accelerate destruction of vortices in the wake of the rotor of the upstream wind turbine by exciting a natural instability of the blade tip vortices.

A method for operating a wind turbine for generating a settable turbine power, where the wind turbine includes a rotor having rotor blades adjustable in their blade angle, is operable at a settable rotor speed, and is installed at an installation site at a distance to an obstacle, comprises the obstacle causing a wind disturbance, which, in dependence on current wind direction and wind velocity, can reach the wind turbine as a wind wake, and the wind turbine reducing its turbine operation by throttling down for protection against loads due to the wind wake, wherein the throttling down is controlled in dependence on the current wind direction and the current wind velocity, wherein a weather prediction is used in order to take into consideration at least one further weather property in addition to the wind direction and wind velocity, and wherein the throttling down is additionally controlled in dependence on the weather prediction, in particular on the further weather property.

Wind turbine comprising a rotor, comprising at least a first blade, and a supporting structure for supporting said rotor up in the air; wherein said first blade is arranged to rotate in a rotor plane around a rotor axis of the rotor and wherein said first blade is rotatable by a blade pitch driving mechanism around a blade pitch axis that is substantially parallel to a longitudinal axis of the blade, wherein said rotor axis is movable in at least one of a rotational tilt direction, a rotational yaw direction and a fore-aft translational direction and wherein the wind turbine further comprises a controller for controlling the wind turbine by varying an induction factor of the first blade over time while the rotor rotates around its rotor axis, wherein the controller is further arranged for varying said induction factor of the first blade by controlling the blade pitch driving mechanism for applying an oscillatory blade pitch rotation to the first blade, and by inducing an oscillatory motion of the rotor axis in the at least one of the rotational tilt direction, the rotational yaw direction and the fore-aft translational direction.

System, methods, and computer readable medium are disclosed for altering orientation of fluid turbines within a cluster. Altering orientation of fluid turbines within a cluster includes a first turbine assuming a first orientation relative to a direction of fluid flow; a second turbine in proximity to the first turbine, and assuming a second orientation relative to the first orientation, wherein the first and/or second orientations are adjustable to mitigate interference with downstream turbine operation; a processor for receiving an indication that the first turbine imposes interference on the second turbine; based on the indication, determine a third orientation enabling the first and second turbines to produce greater aggregate electrical energy than would be produced with the first turbine in the first orientation and the second turbine in the second orientation; and transmit a signal for changing one of the first and second orientations to the third orientation.

Disclosed is a method of establishing a wake management of a wind farm. The method comprises acts of monitoring one or more wake conditions using one or more sensors from one or more wind turbine generators (WTGs); and establishing a wake management of the wind farm as a function of the wake conditions. Disclosed is also a method of optimising operation of a wind turbine park based on wake management and a system for generating wake management.

Provided is a method for optimizing an operation of a wind farm. The farm includes wind turbines and each can be adjusted via operating settings, and a farm model depicting the wind farm or part thereof is used. The method comprises an optimization sequence using the farm model, with the steps: specifying an optimization wind direction in the farm model for optimizing the operation of the farm for this wind direction; varying operating settings of at least a first leading turbine of the farm model; determining effects of varying the operating settings of the first leading turbine on at least one downstream turbine of the farm model, which is aerodynamically influenced by the first leading turbine, by means of a wake model; determining a total farm result of the farm model; wherein the operating settings are varied so as to optimize the total farm result.

The present disclosure is directed to a method for optimizing power production of a wind turbine. The method includes determining at least one operational constraint for the wind turbine. The method also includes operating the wind turbine with at least one operational constraint being activated. Further, the method includes varying a tip speed ratio for the wind turbine while the at least one operational constraint is activated so as to maximize a power coefficient of the wind turbine.

A computer-implemented method for recalibrating nacelle-positions of a plurality of wind turbines in a wind park is implemented by a nacelle calibration computing device including a processor and a memory device coupled to the processor. The method includes identifying at least two associated wind turbines included within the wind park wherein each associated wind turbine includes location information, determining a plurality of predicted wake features for the associated wind turbines based at least partially on the location information of each associated wind turbine, retrieving a plurality of historical performance data related to the associated wind turbines, determining a plurality of current wake features based on the plurality of historical performance data, identifying a variance between the predicted wake features and the current wake features, and determining a recalibration factor for at least one of the associated wind turbines based on the identified variance.