A method for providing grid-forming control of a double-fed wind turbine generator connected to an electrical grid includes receiving at least one control signal associated with a desired total power output or a total current output of the double-fed wind turbine generator. The method also includes determining a contribution of at least one of power or current from the line-side converter to the desired total power output or to the total current output of the double-fed wind turbine generator, respectively. The method also includes determining a control command for a stator of the double-fed wind turbine generator based on the contribution of at least one of the power or the current from the line-side converter and the at least one control signal. Further, the method includes using the control command to regulate at least one of power or current in the stator of the double-fed wind-turbine generator.

A method for controlling an inclination of a floating wind turbine platform to optimize power production, or to reduce loads on the turbine, tower, and platform, or both, includes receiving data associated with the inclination of the floating wind turbine platform and wind speed and direction data. An angle of difference between the turbine blade plane and the wind direction is determined, where the angle of difference has a vertical component. A platform ballast system is then caused to distribute ballast to reduce the vertical component to a target angle chosen to optimize power production, or reduce turbine, tower, and platform loads, or both.

A wind detection apparatus detects wind vectors across a predetermined area at high resolution from a floating support. The apparatus includes a Doppler-based wind vector detection unit configured to detect wind direction, velocity, and turbulence, at selected intervals over the predetermined area. A stabilizer supports the wind vector detection unit and is configured to hold it level relative to a predetermined two-dimensional plane. A processor is provided for rendering the wind vector data into a combined representation of wind patterns across the predetermined area, and the processor continuously updates the rendered combined representation of wind patterns in tandem with the detection unit.

A floating multi-turbine wind power platform for offshore power production, wherein the platform has a substantially elongated shape with an extension direction and being attached to at least two mooring points for securing the platform at its operation site in an original position in relation to the mooring points. The platform includes a device for rotation of the platform (MR1) around an essentially vertical first axis (z1) and further includes at least two wind turbines arranged substantially in a straight line corresponding to the extension direction of the platform and the at least two wind turbines each includes a structural support component and a rotor component. The rotor component is attached to a nacelle which is arranged to rotate using a device for rotation of the nacelle (MR2). The platform further includes a control arrangement (C) arranged to control the device for rotation of the platform (MR1) to rotate the platform only during certain detected wind directions deviating from an original wind direction (WDO) and to limit the rotation of the platform to at the most 90° from the original position, preferably at most ±45°. A method and system are disclosed for aligning rotor components of wind turbines arranged on a floating multi turbine wind power platform according to the above to be essentially perpendicular to a wind direction.

Disclosed is a system for deploying, stationing, and translocating buoyant wind- and wave-energy converters and/or other buoyant structures or devices, as well as farms of same. Also disclosed is a novel apparatus and/or machine comprising a farm of buoyant wave energy converters deployed by said method and/or configured to be deployed by said method.

An energy farm having an electrical grid through which power generated by the devices in the farm may be combined and transmitted. The electrical grid is formed through the electrical interconnection of devices in a farm through electrical connections that remain, in whole or at least in part, adjacent to the surface of the body of water on which the devices float. A plurality of converters of the network have no direct or immediate electrical interface with a subsea power cable (i.e. a cable on or under the seafloor), but instead transmit electricity to other converters in a daisy-chained fashion.

A method for providing grid-forming control of a double-fed wind turbine generator connected to an electrical grid includes receiving at least one control signal associated with a desired total power output or a total current output of the double-fed wind turbine generator. The method also includes determining a contribution of at least one of power or current from the line-side converter to the desired total power output or to the total current output of the double-fed wind turbine generator, respectively. The method also includes determining a control command for a stator of the double-fed wind turbine generator based on the contribution of at least one of the power or the current from the line-side converter and the at least one control signal. Further, the method includes using the control command to regulate at least one of power or current in the stator of the double-fed wind-turbine generator.

The present disclosure relates to a wind park (10) comprising wind turbines arranged in a convex polygon comprising straight sides (3, 4, 5) connecting vertices of the polygon. A node wind turbine (1a, 1b, 1c) of a first type is located at each vertex of the polygon. One or more intermediate wind turbine (2a, 2b, 2c, 2d) of a second type is/are located along each side (3, 4, 5) of the polygon between two node wind turbines. The polygon forms an interior area (A) within the sides (3, 4, 5). The interior area (A) is free of turbines of the first and second type.

A method for monitoring turbines of a windmill farm includes: providing a global nominal dataset containing frame data of the turbines of the windmill farm and continuous reference monitoring data of the turbines for a first period in a fault free state, the reference monitoring data including at least two same monitoring variables for each turbine; building a nominal global model based on the global nominal dataset which describes the relationship in between the windmill turbines and clustering the turbines according thereto; assigning the data of the global nominal dataset to respective nominal local datasets according to the clustering; and building a nominal local model for the turbines of each cluster based on the respective assigned nominal local datasets, the nominal local model being built such that a nonconformity index is providable which indicates a degree of nonconformity between data projected on the local model and the model itself.

A system and method are provided for operating and maintaining a wind turbine. Accordingly, a plurality of data inputs are received. The plurality of data inputs represent a plurality of monitored attributes of a component of the wind turbine. A consolidated risk index for the component is determined using the plurality of monitored attributes, and a range of potential risk indices is forecasted. A remaining-useful-life distribution is determined based on the damage potential and an end-of-life damage threshold. The wind turbine is shut down or idled if the remaining-useful-life distribution is below a shutdown threshold.