Provided is a method for adjusting a pitch angle of a rotor blade connected to a rotor of a wind turbine, the method includes: pitching the rotor blade towards a target blade pitch angle, the manner of pitching depending on a load on a pitch bearing and/or an azimuthal position of the rotor.

Provided is an apparatus and method for cooperative controlling wind turbines of a wind farm, wherein the wind farm includes at least one pair of turbines aligned along a common axis approximately parallel to a current wind direction and having an upstream turbine and a downstream turbine. The method includes the steps of: a) providing a data driven model trained with a machine learning method and stored in a database, b) determining a decision parameter for controlling at least one of the upstream turbine and the downstream turbine by feeding the data driven model with the current power production of the upstream turbine which returns a prediction value indicating whether the downstream turbine will be affected by wake, and/or the temporal evolvement of the current power production of the upstream turbine; c) based on the decision parameter, determining control parameters for the upstream turbine and/or the downstream turbine.

A method of operating at least one wind turbine including: receiving a first signal which is indicative of a level of a remuneration for electrical energy, which is fed currently and/or in the future into a grid to which the wind turbine is connected, producing a control signal dependent on the first signal, and controlling the wind turbine with the control signal for generating power of the wind turbine, that is dependent on the control signal. A wind turbine and a central control for carrying out such a method and a system comprising a central control and a plurality of wind turbines.

A method and a system for controlling a wind turbine based on sectors. Original sectors of the wind turbine are reconstructed based on a wind resource parameter and a wake-flow effect. A load is calculated and superposed for a new sector obtained from the sector reconstruction. An optimization algorithm is applied, under a condition that a constraint condition of a fatigue load is met, to find an operation parameter for maximum power generation amount of the wind turbine.

A method is described for the early identification of material fatigue in drive train components of a wind turbine installation.

In particular, a signal, representing revolutions per minute of a wind turbine shaft, is obtained and modulated by the azimuth angle measurement of the turbine blade. This signal is band passed at twice the frequency of rotation and Fourier transformed to extract amplitude values. An alert response can then be triggered when it is determined that there has been a change in a characteristic of the amplitude values such as the amplitude values increasing beyond a multiple of a determined baseline amplitude value.

A method of operating a wind turbine. The wind turbine is operated over an operating period in accordance with a control strategy. A sensor signal is received over the operating period from a sensor measuring an operational parameter of the turbine. A model is used to obtain a modelled fatigue value based on the sensor signal. The modelled fatigue value provides an estimate of fatigue loading applied to a component of the turbine over the operating period. The control strategy is modified based on the modelled fatigue value.

The invention relates to a method for determining power set points of a power plant comprising a plurality of power generating units with at least one wind turbine generator. The determination of the power set points are based on a prioritization of the power generating units, where the power generating units are prioritized with respect to individual power levels or fatigue levels obtained for the power generating units. The prioritization is adjusted so that the adjusted prioritization depends both on the power and fatigue levels.

A method for determining improved control parameters of a turbine by consideration of a lifetime information 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 invention includes the steps of: receiving, by an interface, actual operation parameters of the turbine and/or ambient condition information; determining, by a processing unit, a lifetime information about a residual lifetime of the turbine or a turbine component by a simulation of the operation of the turbine, the simulation being made with a given turbine model in which the actual operation parameters of the turbine and/or ambient condition information and one or more characteristic values of the turbine are used as input parameters; and deriving, by the processing unit, the control parameters for the turbine from lifetime information.

A method for operating at least two floating offshore wind turbines (1) is disclosed. The wind turbines (1) are operated at respective first operating positions (7), and a previous and/or a future expected wear impact on each wind turbine (1) is estimated. At least one wind turbine (1) to be relocated to a respective second operating position (9) is identified, based on the estimated wear impact. The identified wind turbines (1) are moved to respective second operating position (9) and operated there.

A method and a system for controlling a wind turbine based on sectors. Original sectors of the wind turbine are reconstructed based on a wind resource parameter and a wake-flow effect. A load is calculated and superposed for a new sector obtained from the sector reconstruction. An optimization algorithm is applied, under a condition that a constraint condition of a fatigue load is met, to find an operation parameter for maximum power generation amount of the wind turbine.