METHOD AND SYSTEM FOR CONTROLLING A WIND ENERGY INSTALLATION ARRANGEMENT

Abstract

A method for controlling a wind energy installation arrangement having at least one wind energy installation. The method includes determining pairs of values of a first quantity which depends on a wind speed, and a second quantity which depends on a power of the wind energy installation arrangement, and determining eigenvalues and/or eigenvectors of a covariance matrix of the pairs of determined values. The method may further include determining at least one intensity value that is dependent on a standard deviation and a mean value of a rotational speed and/or a torque of the wind energy installation arrangement and/or of a wind speed, and determining a value of a control parameter of the wind energy installation arrangement with the aid of an artificial intelligence based on the eigenvalues and/or eigenvectors and/or the at least one intensity value. The wind energy installation arrangement is controlled based on the control parameter value.

Claims

1-9. (canceled)

10. A method of controlling a wind energy installation arrangement which includes at least one wind energy installation, the method comprising: at least one of: a) determining with a computer pairs of values of a first quantity which depends on a wind speed, and a second quantity which depends on a power of the wind energy installation arrangement, and determining eigenvalues and/or eigenvectors of a covariance matrix of the pairs of values of the first and second quantities which have been determined, OR b) determining at least one intensity value that is dependent on a standard deviation and a mean value of at least one of a rotational speed of the wind energy installation arrangement, a torque of the wind energy installation arrangement, or a wind speed; and determining a value of a control parameter of the wind energy installation arrangement with the aid of an artificial intelligence based on at least one of: the determined eigenvalues and/or eigenvectors, or the at least one determined intensity value; and controlling the wind energy installation arrangement on the basis of the control parameter value which has been determined.

11. The method of claim 10, wherein the control parameter value is determined with the aid of the artificial intelligence on the basis of at least one of: a determined temperature, air humidity and/or air density; a determined wind speed, and/or mode of operation of the wind energy installation arrangement; an active and/or reactive power of the wind energy installation arrangement; an active and/or a reactive power requirement of the wind energy installation arrangement; or taking into account current requirements of a network operator.

12. The method of claim 11, wherein at least one of: the mode of operation corresponds to a partial load, a full load, a start-up, or a braking program of the wind energy installation arrangement; or the current requirements of a network operator are at least one of: target values for the active and/or reactive power, target values for voltage control or frequency control, or target values for network characteristics at a transfer point.

13. The method of claim 10, wherein the values of at least one of the first quantity or the second quantity are determined on the basis of values averaged over time.

14. The method of claim 10, wherein the pairs of values are at least one of: determined over a sliding time window; or determined for one of a plurality of wind direction sectors.

15. The method of claim 10, wherein: the wind energy installation arrangement comprises at least two wind energy installations.

16. The method of claim 15, wherein at least one of: the second quantity is dependent on a power of the at least two wind energy installations, or the intensity value is dependent on a standard deviation and a mean value of at least one of a rotational speed or a torque of the at least two wind energy installations.

17. The method of claim 10, wherein at least one of: permissible ranges for the control parameter values are specified to the artificial intelligence; or compliance with a specified permissible range of the control parameters is enforced.

18. The method of claim 17, wherein at least one: compliance is enforced by a wind energy installation control system; or compliance is enforced independently of the artificial intelligence.

19. The method of claim 10, wherein controlling the wind energy installation arrangement on the basis of the control parameter value comprises at least one of: changing an azimuth tracking of the wind energy installation arrangement; activating a blade heating and/or de-icing of the wind energy installation arrangement; switching the wind energy installation over into an energy saving mode of operation; stopping the wind energy installation arrangement; or switching the wind energy installation arrangement from control according to a first characteristic curve to control according to a second characteristic curve.

20. A system for controlling a wind energy installation arrangement which includes at least one wind energy installation, the system comprising: an artificial intelligence for determining a value of a control parameter of the wind energy installation arrangement on the basis of determined eigenvalues and/or eigenvectors of a covariance matrix of determined pairs of values and/or on the basis of at least one intensity value; and means for controlling the wind energy installation arrangement on the basis of the determined control parameter value; wherein at least one of: the pairs of values are pairs of values of a first quantity that depends on a wind speed, and a second quantity that depends on a power of the wind energy installation arrangement, or the at least one intensity value depends on a standard deviation and a mean value of at least one of a rotational speed of the wind energy installation arrangement, a torque of the wind energy installation arrangement, or a wind speed.

21. A system for controlling a wind energy installation arrangement which includes at least one wind energy installation, wherein the system comprises a controller configured to carry out the method of claim 10.

22. A computer program product for controlling a wind energy installation arrangement which includes at least one wind energy installation, the computer program product comprising program code stored on a non-transitory computer-readable storage medium, the program code, when executed by a computer, causing the computer to: at least one of: a) determine pairs of values of a first quantity which depends on a wind speed, and a second quantity which depends on a power of the wind energy installation arrangement, and determine eigenvalues and/or eigenvectors of a covariance matrix of the pairs of values of the first and second quantities which have been determined, or b) determine at least one intensity value that is dependent on a standard deviation and a mean value of at least one of a rotational speed of the wind energy installation arrangement, a torque of the wind energy installation arrangement, or a wind speed; and determine a value of a control parameter of the wind energy installation arrangement with the aid of an artificial intelligence based on at least one of: the determined eigenvalues and/or eigenvectors, or the at least one determined intensity value; and control the wind energy installation arrangement on the basis of the control parameter value which has been determined.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and, together with a general description of the invention given above, and the detailed description given below, serve to explain the principles of the invention.

[0060] FIG. 1 shows a wind energy installation arrangement comprising a plurality of wind energy installations and a system for controlling said wind energy installation arrangement, in accordance with an embodiment of the present invention;

[0061] FIG. 2 shows power curves of one of the wind energy installations for different environmental conditions;

[0062] FIG. 3 shows eigenvalues and eigenvectors of a covariance matrix of the pairs of values of the power curves of FIG. 2; and

[0063] FIG. 4 shows a method of controlling the wind energy installation arrangement in accordance with an embodiment of the present invention.

DETAILED DESCRIPTION

[0064] FIG. 1 shows a wind energy installation arrangement or wind farm comprising a plurality of wind energy installations 10, 20, 30, 40, 50 and a system for controlling said wind energy installation arrangement in accordance with an embodiment of the present invention.

[0065] As is schematically indicated on the basis of the wind energy installation 10, the wind energy installations each have a rotatable nacelle 11, which is arranged on a tower 12 and which can be tracked, in terms of the azimuth, or which can be rotated about a longitudinal axis of the tower (vertical in FIG. 1) by drives (not shown). A rotor with rotor blades 13 drives a generator 14 which, like a blade angle adjustment system of the rotor blades and the tracking, in terms of the azimuth, is controlled by a control system 15, which receives measurement signals from a wind measuring device 16.

[0066] The control systems of the wind energy installations 10, 20, 30, 40, 50 communicate with an artificial intelligence 100, which may comprise one or more neural networks, for example.

[0067] In accordance with one embodiment, the artificial intelligence 100 may be installed in a park server of the wind farm. Similarly, data of the control systems may also be exchanged via a Virtual Private Network (VPN) connection with a trusted private network in the cloud, and the artificial intelligence 100 may at least partially be implemented there, in accordance with one embodiment in a virtualized manner.

[0068] In a first method step S10 (cf. FIG. 2), pairs of values of a first quantity in the form of an absolute value of a wind speed and of a second quantity in the form of a power of the wind energy installations (or wind energy installation arrangement) are determined.

[0069] In connection with this, FIG. 2 shows, by way of example, such pairs of values, in the left and right image for different environmental conditions. Here, absolute values of the wind speed are indicated on the abscissa and power values on the ordinate.

[0070] In a second method step S20, eigenvalues and eigenvectors of a covariance matrix of these determined pairs of values are determined.

[0071] In connection with this, FIG. 3 shows, by way of example, the corresponding eigenvectors e1, . . . e′2 or eigenvalues λ1, . . . λ′2.

[0072] In parallel to this, in a step S30, intensity values in the form of ratios of a standard deviation to a mean value of a rotational speed and/or of a torque, in particular a blade bending moment and/or a rotor torque, of the wind energy installations, as well as the wind speed are determined, as it were analogously to the turbulence intensity known per se.

[0073] In a method step S40, the—appropriately trained—artificial intelligence 100 determines an optimal value of a control parameter of the wind energy installation arrangement on the basis of these determined eigenvalues and/or eigenvectors and intensity values.

[0074] In a step S50, the wind energy installation arrangement is controlled on the basis of this control parameter value that has been determined. For example, corresponding components of the multidimensional control parameter value can be transmitted to the individual control systems, which then control the blade angles, azimuth tracking, generators, de-icing or the like accordingly on the basis of the control parameter value.

[0075] Although embodiments have been explained by way of example in the preceding description, it is to be noted that a variety of variations are possible. It is also to be noted that the example embodiments are merely examples which are not intended to limit the scope of protection, the possible applications and the structure in any way. Rather, the preceding description provides the person skilled in the art with a guideline for the implementation of at least one example embodiment, whereby various modifications, in particular with regard to the function and the arrangement of the components described, can be made without departing from the scope of protection as it results from the claims and combinations of features equivalent to these.

LIST OF REFERENCE SIGNS

[0076] 10 wind energy installation [0077] 11 nacelle [0078] 12 tower [0079] 13 rotor (blade) [0080] 14 generator [0081] 15 control system [0082] 16 wind measuring device [0083] 20-50 wind energy installation [0084] 100 artificial intelligence [0085] e.sub.1, . . . e′.sub.2 eigenvector [0086] λ.sub.1, . . . λ′.sub.2 eigenvalue