A method for operating a wind farm having a first wind power installation and a second wind power installation, to an associated wind power installation and to an associated wind farm. The second wind power installation is located in the wake of the first wind power installation in at least one wake wind direction. A tip-speed coefficient is determined from the ratio of a second tip-speed ratio of the second wind power installation and a first tip-speed ratio of the first wind power installation and a pitch-angle coefficient is determined from the ratio of a second pitch angle of the second wind power installation and a first pitch angle of the first wind power installation. The method comprises: determining a turbulence metric, in particular a turbulence intensity, at the second wind power installation; operating the first wind power installation and the second wind power installation in the wake wind direction in a part-load range, wherein the tip-speed coefficient and/or the pitch-angle coefficient are/is a function of the turbulence metric at the second wind power installation and are/is greater than one.

The disclosure notably relates to a computer-implemented method for simulating together a plurality of physics simulation instances included in a global physics simulation. The method includes creating a database of local simulation instances. The creating includes providing a set of local simulations. The set of local simulations includes at least two local simulations. A local simulation is a physics simulation that is part of the global physics simulation and that can be computed alone and independently of the multi-physics simulation. Each local simulation of the set of local simulations is already computed. The creating further includes, for each local simulation of the set of local simulations, computing a respective reduced model of the local simulation. The creating further includes, for each local simulation of the set of local simulations, storing in the database a respective local simulation instance. The respective local simulation instance includes the respective computed reduced model.

A control arrangement for a variable-speed wind turbine includes a loading analysis module configured to analyse a number of environment values to establish whether the momentary wind turbine loading is lower than a loading threshold when the rotational speed of the aerodynamic rotor has reached its rated value; and a speed boost module configured to determine a speed increment for the rotational speed of the aerodynamic rotor if the wind turbine loading is lower than the loading threshold.

The present disclosure relates to methods (100, 200) for determining wake behavior in a wind farm. A method (100) comprises determining (100) a metric that is indicative of atmospheric instability for a plurality of wind turbines in the wind farm, selecting (120) a set of wind turbines of the plurality of wind turbines for which the corresponding metric indicates lowest atmospheric instability, determining (130) the atmospheric instability based on wind conditions at the selected set of wind turbines, and determining (140) the wake behavior in the wind farm based on the determined atmospheric instability. The present disclosure further relates to wind farm controllers (36), wind turbines (10) and wind farms.

A system and method operate a wind farm having a plurality of wind turbines, and include determining a wind direction of a wind affecting the wind farm. Based on the wind direction, at least one upwind turbine is identified that produces a wake effect on one or more downwind wind turbines, the upwind wind turbine and affected downwind wind turbines defining a cluster. Based on a current yaw position of the upwind turbine and the wind direction, a yaw steer is determined for the upwind turbine to reduce the wake effect on the downstream wind turbines in the cluster. The yaw steer is based on increasing a net energy gain from the cluster, the net energy gain determined by subtracting an energy cost of the yaw steer from an increased energy production of the cluster resulting from the yaw steer. The upwind wind turbine is controlled to change yaw position in accordance with the yaw steer when the net energy gain satisfies a minimum threshold level.

A method and an apparatus for assessing status of wind turbines, and a storage medium are provided. The method includes: constructing a wake surrogate model; arranging wind turbines in a wind turbine array in a direction of a wind speed; inputting the wind condition information and the wind turbine information of the first wind turbine of the wind turbines into the wake surrogate model to obtain a velocity deficit percentage and an additional turbulence intensity value at each point in a wake region of the first wind turbine; for each current wind turbine of the wind turbines starting from a second wind turbine of the wind turbines, updating wind condition information of a current wind turbine; and obtaining, for each wind turbine of the wind turbines, an amount of generated power and a load of the wind turbine.