Controlling a wind turbine including measuring a wind speed for a location upwind of a wind turbine. Using the measured wind speed, a changed steady-state deflection of a structure of the wind turbine is predicted. The predicted changed steady-state deflection corresponds to a time when wind from the location is incident on the wind turbine. Oscillations of the structure are damped relative to the changed steady-state deflection. By damping the oscillations relative to the changed steady-state deflection, movements of the structure may be minimized when there is no predicted change in steady-state deflection, while permitting more rapid movements during transitions from one steady-state deflection to the predicted steady-state deflection, allowing more of the available power to be captured by the wind turbine.

The present invention relates to control of wind turbines in a situation where a fault condition is detected. Control of a wind turbine is described where a control trajectory and a safe-mode trajectory are calculated based on the current operational state of the wind turbine. If the fault condition is detected the wind turbine is controlled using the safe-mode trajectory, otherwise, the normal operation of the wind turbine is continued where the wind turbine is controlled using the control trajectory.

A method for computer-implemented maximization of annual energy production of several 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: 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; determine, based on the power versus wind speed map of each of the number of wind turbines a respective performance measure; and assign a selected siting position for each wind turbine in the wind park according to its determined performance measure.

The invention relates to a method for acquisition and modelling of an incident wind field by a LiDAR sensor. Acquisition and modelling include a step of estimating the wind amplitudes and directions for a set of discretized points, and a step of incident wind field reconstruction in three dimensions and in real time. The invention also relates to a method of controlling and/or monitoring a wind turbine equipped with such a LiDAR sensor from the incident wind field reconstructed in three dimensions and in real time.

A shutdown controller for a wind turbine comprises, to improve the estimation of a state of the wind turbine, at least two sensors being adapted to provide sensor data significant for different mechanical states in the wind turbine. The controller can provide an estimated state of the wind turbine based on the sensor data from the at least two sensors and compare the state of the wind turbine with a predefined detection limit to provide a shutdown signal if the estimated state is outside the detection limit.

A method for the calculation of a wind turbine blade deflection is described. The method utilises a known blade modal profile in the calculation of the blade deflection, such that the a priori knowledge of the blade excitation modes can be used with a simple distance measurement to determine the blade deflection shape. The calculated blade deflection can then be used as an input to control wind turbine operation, e.g. where it is likely that the deflected blade might result in a tower strike.

Provided are a feedforward control method, apparatus and control system for a wind turbine. The feedforward control method includes: acquiring, by means of a remote sensing measurement apparatus, inflowing wind information of a plurality of spatial point positions in front of a wind turbine, wherein the plurality of spatial points are distributed in a plurality of different cross sections, and the distances between the plurality of different cross sections and the wind turbine are different; combining the acquired inflowing wind information into a target wind velocity; predicting, on the basis of the combined target wind velocity, incoming flow arrival time required for inflowing wind at a target point to arrive at an impeller plane; and performing feedforward control on the wind turbine according to the predicted incoming flow arrival time.

Systems and methods are provided for controlling a power generating asset having an energy storage device. Accordingly, a controller of the power generating asset initiates a state-change event for the energy storage device. The controller determines an actual equivalent series resistance (ESR) function for the energy storage device based on a change in a first and a second electrical condition at each of a plurality of sampling intervals of the state-change event. The controller determines a state-of-health rating for the energy storage device based on the actual ESR function and implements a control action based on the state-of-health rating.

A method for operating a wind turbine includes determining one or more loading and travel metrics or functions thereof for one or more components of the wind turbine during operation of the wind turbine. The method also includes generating, at least in part, at least one distribution of cumulative loading data for the one or more components using the one or more loading and travel metrics during operation of the wind turbine. Further, the method includes applying a life model of the one or more components to the at least one distribution of cumulative loading data to determine an actual damage accumulation for the one or more components of the wind turbine to date. Moreover, the method includes implementing a corrective action for the wind turbine based on the damage accumulation.

A method for controlling a wind turbine connected to an electrical grid includes receiving, via a controller, a state estimate of the wind turbine. The method also includes determining, via the controller, a current condition of the wind turbine using, at least, the state estimate, the current condition defining a set of condition parameters of the wind turbine. Further, the method includes receiving, via the controller, a control function from a supervisory controller, the control function defining a relationship of the set of condition parameters with at least one operational parameter of the wind turbine. Moreover, the method includes dynamically controlling, via the controller, the wind turbine based on the current condition and the control function for multiple dynamic control intervals.