US 12,104,576 B2
Method and system for parameterization of a controller for a wind energy installation and/or operation of a wind energy installation
Martin Von Mutius, Borgwedel (DE)
Assigned to Siemens Gamesa Renewable Energy Service GmbH, (DE)
Appl. No. 17/312,539
Filed by Siemens Gamesa Renewable Energy Service GmbH, Hamburg (DE)
PCT Filed Dec. 9, 2019, PCT No. PCT/EP2019/084182
§ 371(c)(1), (2) Date Jun. 10, 2021,
PCT Pub. No. WO2020/120380, PCT Pub. Date Jun. 18, 2020.
Claims priority of application No. 10 2018 009 549.6 (DE), filed on Dec. 10, 2018.
Prior Publication US 2022/0056882 A1, Feb. 24, 2022
Int. Cl. F03D 7/04 (2006.01); F03D 80/40 (2016.01)
CPC F03D 7/046 (2013.01) [F03D 7/048 (2013.01); F03D 80/40 (2016.05); F05B 2260/8211 (2013.01); F05B 2260/84 (2013.01); F05B 2270/303 (2013.01); F05B 2270/323 (2013.01); F05B 2270/325 (2013.01); F05B 2270/335 (2013.01); F05B 2270/404 (2013.01)] 20 Claims
OG exemplary drawing
 
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.