A method for determining an available power of a wind farm, wherein the wind farm comprises a plurality of wind power installations with a rotor having rotor blades, the blade angle of which can be adjusted is provided. A wind farm which is set up to carry out the method for determining an available power is provided. The method comprises providing a shading matrix which determines at least one effective wind speed of each of the wind power installations in the wind farm as a function of at least one wind speed and wind direction and wind farm throttling using a park wake model. The method makes it possible to accurately determine an available power of a wind farm even when the wind farm is operated with throttled power.

A method for constrained control of a wind turbine includes receiving a plurality of operating parameters corresponding to the wind turbine. The plurality of operating parameters includes a wind preview parameter and a plurality of constraint parameters. The method further includes generating a constraint parameter estimate corresponding to a future time instant for at least one constraint parameter of the plurality of constraint parameters based on the plurality of operating parameters and a wind preview model. The method also includes predicting an extreme event corresponding to the at least one constraint parameter based on the constraint parameter estimate. The method includes determining a control parameter value corresponding to a wind turbine control parameter among a plurality of wind turbine control parameters. The method also includes operating the wind turbine using a feedforward control technique based on the control parameter value to circumvent the extreme event.

The invention relates to energy generation and water conservation. There are many water systems which might lend themselves to energy extraction, such as canal systems. However, despite canal systems being around for hundreds of years, practical solutions for using the energy available have not been developed. The invention provides, among various examples, a system which can be associated with a lock in a canal and provides a flow control strategy responsive to water availability upstream of the lock. Thus electricity may be generated selectively in response to the lock state and energy demands but without adversely affecting the canal system by taking excess water. The system may be applied to multiple locks and may incorporate machine learning to evolve a strategy for a canal based on lock usage and energy demand.

Provided is a method of feeding electric reactive power using a wind farm comprising wind turbines. The wind farm feeds a wind farm active power output and the wind farm active power output includes individual plant active power outputs each generated by one of the wind turbines. The wind farm feeds a wind farm reactive power output into the electrical supply network and the wind farm reactive power output includes individual plant reactive power outputs each generated by one of the wind turbines. The method includes determining a total wind farm reactive power output to be fed in by the wind farm and calculating, for each wind turbine, an individual plant reactive power output to be generated. The individual plant reactive power output is determined depending on the individual plant active power output and depending on the wind farm reactive power output to be fed in.

A method for determining a yaw position offset of a wind turbine (1) is provided. A neighbouring wind turbine (2) of the wind farm is identified, the neighbouring wind turbine (2) being arranged in the vicinity of the wind turbine (1). Produced power data and/or wind speed data from the wind turbine (1) and from the neighbouring wind turbine (2), is obtained during a period of time, and a yaw position offset of the wind turbine (1) is derived, based on the obtained produced power data and/or wind speed data, and based on the geographical positions of the wind turbine (1) and the neighbouring wind turbine (2). A local maximum and a local minimum being separated by an angular difference in yaw position being substantially equal to 180°.

Aspects of the present invention relate to a computer-implemented method for predicting energy production losses associated with high wind hysteresis control of a wind turbine generator. The method comprises: determining a distribution of wind speeds; determining a high wind hysteresis band that comprises wind speed values between an upper threshold and a lower threshold; and predicting energy production loss due to the high wind hysteresis control. The prediction includes: determining a high wind factor corresponding to a probability that the wind speeds in the hysteresis band occur when the generator is shut off by the high wind hysteresis control, determining, based on the distribution and power data, an energy value associated with the wind speeds falling within the hysteresis band over a predetermined time period; and determining the energy production loss by applying the high wind factor to the determined energy value.

The invention provides a method for controlling a wind turbine, including predicting behaviour of one or more wind turbine components such as a wind turbine tower over a prediction horizon using a wind turbine model that describes dynamics of the one or more wind turbine components or states. The method includes determining behavioural constraints associated with operation of the wind turbine, wherein the behavioural constraints are based on operational parameters of the wind turbine such as operating conditions, e.g. wind speed. The method includes using the predicted behaviour of the one or more wind turbine components in a cost function, and optimising the cost function subject to the determined behavioural constraints to determine at least one control output, such as blade pitch control or generator speed control, for controlling operation of the wind turbine.

A method for reducing extreme loads acting on a component of a wind turbine includes measuring, via one or more sensors, a plurality of operating parameters of the wind turbine. Further, the method includes predicting at least one blade moment of at least one rotor blade of the wind turbine based on the plurality of operating parameters. The method also includes predicting a load and an associated load angle of the at least one rotor blade as a function of the at least one blade moment. Moreover, the method includes predicting a pitch angle of the at least one rotor blade of the wind turbine. In addition, the method includes generating a load envelope for the component that comprises at least one load value for the pitch angle and the load angle. Thus, the method includes implementing a control action when the load is outside of the load envelope.

The present invention relates to non-thermal renewable energy turbines (20,24,34, 38,40), in particular to the monitoring of turbine performance to identify a loss of performance indicative of faults or component degradation. The method involves comparison of measured power from a target turbine (20) with a predicted value for same turbine. The predicted value is calculated using the output from a plurality of other turbines (24,34,38,40) from an array and a predictive model including weightings for the other turbines (24, 34,38,40) based on the strength of correlation of their historical with historical data from the target turbine (20).

A method for operating a wind turbine is disclosed, wherein said wind turbine comprises a rotor having at least one rotor blade with a rotor blade surface and an icing detection device for detecting an icing condition for the rotor blade and/or for detecting the presence of icing on the rotor blade. Further, a controller configured for controlling a rotational speed of the rotor can be provided. The method comprises the steps of monitoring, via the controller and/or via the icing detection device, whether an icing condition for the rotor blade is present and/or if icing on the surface of the wind turbine is present, thus, that ice has been generated on the surface. If an icing condition is detected, or if it is detected that ice has generated on the surface of the rotor blade, the wind turbine is operated further according to a de-rated icing-mode having a reduced rotational speed, in particular while maintaining a generation of electrical energy by a generator of the wind turbine.