A measuring arrangement for a wind power installation for determining a thrust force of the rotor. A measuring device detects a first bending moment of the tower at a first height and a second bending moment of the tower at a second height, which is different from the first height. The first and second bending moments are in this case made up in each case of a natural moment component, a pitching moment component and a thrust force component. A thrust force determining unit determines a thrust force of the rotor based on a comparison of the at least first and second bending moments, so that the natural moment component and the pitching moment component cancel one another out.

A method for controlling a first wind turbine cluster to improve wake recovery of the wind that flows through that cluster, which may therefore improve the consistency of air flow for a downstream cluster of wind turbines. The method comprises quantifying a wake effect of the first wind turbine cluster on the operational performance of a second wind turbine cluster, identifying a triggering condition based on the quantified wake effect, and, in response, controlling one or more operational parameters of the wind turbines in the first wind turbine cluster to improve the wake recovery of the first wind turbine cluster.

The present disclosure relates to a wind farm layout and yaw control method, and an electronic device. The wind farm layout and yaw control method comprises the following steps: acquiring wind farm data, importing the wind farm data into a WFSim model for simulation, obtaining original power data of the wind farm, counting and recording modifiable wind farm layout and yaw parameters, adjusting variable parameters to be changed, using the WFSim model for simulation to obtain an optimal parameter range of different variables and combining the optimal parameters to obtain an optimal working condition, and using the WFSim model for simulation to obtain optimal power data. The wind farm layout and yaw control method according to the present disclosure is based on optimizing the power output of the wind farm, so that it is very convenient to acquired information. Meanwhile, a WFSim two-dimensional fidelity model is used to simulate and solve the wind farm, so that the simulation time can be reduced while ensuring data accuracy.

A method for monitoring the validity of a calibration of a system parameter is provided. A calibrated system parameter is generated based on the calibration by each of a plurality of spatially associated wind turbines of a wind park. The plurality of spatially associated wind turbines includes a first wind turbine and a second wind turbine. The method includes subtracting from a first signal representing the calibrated system parameter measured at the first wind turbine a second signal representing the calibrated system parameter measured by the second wind turbine in order to generate a difference signal, processing the difference signal by a function based on a stochastic model to generate a decision data signal and determining, based on the decision data signal, if the calibrated system parameter of at least one of the first wind turbine and the second wind turbine is based on an invalid calibration.

A method for commanding an upstream wind turbine in a wind farm has a plurality of spatially distributed wind turbines and a method for controlling the upstream wind turbine in the wind farm.

Systems, methods, and non-transitory computer readable media including instructions for coordinated braking of a plurality of geographically-associated fluid turbines. Coordinated braking of a plurality of geographically-associated fluid turbines includes accessing memory storing information indicative of a tolerance threshold for an operating parameter associated with the plurality of geographically-associated fluid turbines; receiving information from a sensor indicative of the operating parameter for a particular fluid turbine among the plurality of geographically-associated fluid turbines; comparing the information indicative of the operating parameter for the particular fluid turbine with the tolerance threshold; determining, based on the comparison, whether the operating parameter for the particular fluid turbine deviates from the tolerance threshold; and upon a determination that the operating parameter for the particular fluid turbine deviates from the tolerance threshold, sending a braking signal to each of the geographically-associated fluid turbines to slow each of the geographically-associated fluid turbines.

A method for operating a plurality of wind turbines, in which a first current estimated wind value is derived from operating parameters of a first wind turbine, and in which a second current estimated wind value is derived from operating parameters of a second wind turbine. A prediction model is applied to derive, from the first current estimated wind value and the second current estimated wind value, a wind prediction, applicable to a future time point, for a third wind turbine. The wind prediction is processed in a controller, in order to generate a control signal for the third wind turbine that is effective before the future time point. The invention additionally relates to an associated control system. The loading for particular wind turbines can be reduced in that the wind conditions are predicted for a future time point.

A method for operating a first wind turbine and a second wind turbine, the second wind turbine being located in the wake of the first wind turbine. A prediction model is fed with a current wind value of the first wind turbine, in order to predict a future time point at which the area swept by the rotor of the second wind turbine becomes partially overlapped by the wake of the first wind turbine. The second wind turbine reacts to the prediction in that a control signal is generated in order to alter the pitch angle of a rotor blade of the second wind turbine relative to the pitch angle of another rotor blade of the second wind turbine. The invention additionally relates to a control system suitable for executing the method. Implementation of the disclosed method by a control system can reduce the loading of the second wind turbine.

The present disclosure is directed to a system and method for assessing farm-level performance of a wind farm. The method includes operating the wind farm in a first operational mode and identifying one or more pairs of wind turbines having wake interaction. The method also includes generating a pairwise dataset for the wind turbines pairs. Further, the method includes generating a first wake model based on the pairwise dataset and predicting a first farm-level performance parameter based on the first wake model. The method also includes operating the wind farm in a second operational mode and collecting operational data during the second operational mode. Moreover, the method includes predicting a first farm-level performance parameter for the second operational mode using the first wake model and the operational data from the second operational mode. The method further includes determining a second farm-level performance parameter during the second operational mode. Thus, the method includes determining a difference in the farm-level performance of the wind farm as a function of the first and second farm-level performance parameters.

A system and method for simultaneously coordinating a wake control system and a noise control system of a wind farm having a plurality of wind turbines is disclosed. The method includes determining, via a farm controller, one or more wake control set points for the wake control system. Further, the method includes determining, via the farm controller, one or more noise control set points for the noise control system. The method also includes selecting, via the farm controller, between the wake control set points and the noise control set points for each of the plurality of wind turbines. Thus, the method also includes sending, via the farm controller, the selected control set points to local controllers of the plurality of wind turbines and operating the wind farm based on the selected control set points.