Method and system for parameterization of a controller for a wind energy installation and/or operation of a wind energy installation

1. A method of parameterizing a controller of a first wind energy installation, wherein the controller is configured to set a manipulated variable of the first wind energy installation based on an input variable, the method comprising:

determining with an artificial intelligence at least one value of a parameter of the controller for at least one state/degree of the first wind energy installation being iced up, on the basis of at least one determined state/degree of the first wind energy installation being iced up, and at least one of:

a power of at least one second wind energy installation, which power is determined for at least one determined state/degree of the at least one second wind energy installation being iced up,

a load of at least one second wind energy installation, which load is determined for the at least one determined state/degree of the at least one second wind energy installation being iced up, or

a downstream flow of at least one second wind energy installation, which downstream flow is determined for the at least one determined state/degree of the at least one second wind energy installation being iced up;

wherein the artificial intelligence determines the at least one value of a parameter of the controller such that a power output of the wind energy installation is maximized.

2. The method of claim 1 , wherein at least one of:

the method is performed in at least one of a multi-stage or adaptive manner;

determining the at least one value of a parameter with artificial intelligence comprises adapting or adjusting the at least one value with the artificial intelligence;

the at least one determined state/degree of being iced up is the same state/degree of being iced up for which the at least one value of the parameter is being determined;

the at least one second wind energy installation is a wind energy installation of the same type as the first wind energy installation;

the at least one of a power, a load, or a downstream flow is determined by a measurement.

3. The method of claim 1 , wherein the state/degree of being iced up is at least one of:

determined for a time interval of at most 5 minutes;

determined with the aid of at least one of:

at least one wind measuring device, or

at least one sensor; or

determined on the basis of at least one of a determined power of the wind energy installation, at least one determined temperature, or at least one determined humidity.

4. The method of claim 3 , wherein at least one of:

the at least one wind measuring device comprises at least one wind energy installation-side wind measuring device; or

the at least one sensor comprises at least one sensor arranged on a rotor blade.

5. The method of claim 1 , wherein at least one of:

the input variable is dependent upon at least one of a wind speed, a rotational speed, an electrical power, or a mechanical power of the wind energy installation; or

at least one of a pitch angle, a heating of at least one blade of a rotor of the first wind energy installation, a wind tracking feature of the rotor, or a braking torque of a generator of the first wind energy installation is set based on the manipulated variable.

6. The method of claim 1 , wherein at least one of:

the parameter is selected from a set of possible parameters of the controller;

at least one of an adjustable starting value or a permissible range of values of the parameter is specified to the artificial intelligence; or

the artificial intelligence determines a sensitivity, with respect to various components of the parameter, of at least one of the power, the load or the downstream flow.

7. The method of claim 1 , wherein the artificial intelligence determines the parameter value with the aid of machine learning.

8. The method of claim 7 , wherein the machine learning comprises reinforcement learning.

9. A method of operating a wind energy installation, the method comprising:

adjusting the manipulated variable of the wind energy installation with a controller based on the input variable in response to a state/degree of being iced up being determined;

wherein the controller has been parameterized according to the method of claim 1 for the state/degree of the wind energy installation being iced up.

10. The method of claim 9 , wherein the state/degree of being iced up is at least one of:

determined for a time interval of at most 5 minutes;

determined with the aid of at least one of:

at least one wind measuring device, or

at least one sensor; or

determined on the basis of at least one of a determined power of the wind energy installation, at least one determined temperature, or at least one determined humidity.

11. The method of claim 10 , wherein at least one of:

the at least one wind measuring device comprises at least one wind energy installation-side wind measuring device; or

the at least one sensor comprises at least one sensor arranged on a rotor blade.

12. A system for parameterizing a controller of a first wind energy installation, wherein the controller is configured to set a manipulated variable of the first wind energy installation as a function of an input variable, the system comprising:

an artificial intelligence configured to determine at least one value of a parameter of the controller for at least one state/degree of the first wind energy installation being iced up, on the basis of at least one determined state/degree of the first wind energy installation being iced up, and at least one of:

a power of at least one second wind energy installation, which power is determined for at least one determined state/degree of the at least one second wind energy installation being iced up,

a load of at least one second wind energy installation, which load is determined for the at least one determined state/degree of the at least one second wind energy installation being iced up, or

a downstream flow of at least one second wind energy installation, which downstream flow is determined for the at least one determined state/degree of the at least one second wind energy installation being iced up;

wherein the artificial intelligence determines the at least one value of a parameter of the controller such that a power output of the wind energy installation is maximized.

13. The system of claim 12 , further comprising the controller that is being parameterized.

14. A computer program product for parameterizing a controller of a first wind energy installation, wherein the controller is configured to set a manipulated variable of the first wind energy installation as a function of an input variable, the computer program product comprising program code stored in a non-transitory, machine-readable storage medium, the program code configured to, when executed by a computer, cause the computer to:

determine with an artificial intelligence at least one value of a parameter of the controller for at least one state/degree of the first wind energy installation being iced up, on the basis of at least one determined state/degree of the first wind energy installation being iced up, and at least one of:

a power of at least one second wind energy installation, which power is determined for at least one determined state/degree of the at least one second wind energy installation being iced up,

a load of at least one second wind energy installation, which load is determined for the at least one determined state/degree of the at least one second wind energy installation being iced up, or

a downstream flow of at least one second wind energy installation, which downstream flow is determined for the at least one determined state/degree of the at least one second wind energy installation being iced up;

wherein the artificial intelligence determines the at least one value of a parameter of the controller such that a power output of the wind energy installation is maximized.

15. The method of claim 1 , wherein the input variable is at least one of a wind speed, a wind direction, a rotational speed, an electrical power of the wind energy installation, or a mechanical power of the wind energy installation.

16. The method of claim 1 , wherein the artificial intelligence determines the at least one value of a parameter of the controller for operation without shutting down the wind energy installation.

17. The system of claim 12 , wherein the input variable is at least one of a wind speed, a wind direction, a rotational speed, an electrical power of the wind energy installation, or a mechanical power of the wind energy installation.

18. The system of claim 12 , wherein the artificial intelligence determines the at least one value of a parameter of the controller for operation without shutting down the wind energy installation.

19. The computer program product of claim 14 , wherein the input variable is at least one of a wind speed, a wind direction, a rotational speed, an electrical power of the wind energy installation, or a mechanical power of the wind energy installation.

20. The computer program product of claim 14 , wherein the artificial intelligence determines the at least one value of a parameter of the controller for operation without shutting down the wind energy installation.