US 12,463,968 B2
Method for computer-implemented identifying an unauthorized access to a wind farm
K. S. Nagaraja, Karnataka (IN)
Assigned to Siemens Gamesa Renewable Energy A/S, Brande (DK)
Appl. No. 17/908,323
Filed by Siemens Gamesa Renewable Energy A/S, Brande (DK)
PCT Filed Mar. 3, 2021, PCT No. PCT/EP2021/055267
§ 371(c)(1), (2) Date Aug. 31, 2022,
PCT Pub. No. WO2021/180528, PCT Pub. Date Sep. 16, 2021.
Claims priority of application No. 20162381 (EP), filed on Mar. 11, 2020.
Prior Publication US 2023/0098418 A1, Mar. 30, 2023
Int. Cl. H04L 9/40 (2022.01); F03D 17/00 (2016.01)
CPC H04L 63/0876 (2013.01) [F03D 17/00 (2016.05)] 9 Claims
OG exemplary drawing
 
1. A method for computer-implemented identifying an unauthorized access to a wind farm where the wind farm comprises a number of wind turbines, a number of subsystems for controlling and/or monitoring the number of wind turbines and a repository for storing wind farm data,
wherein at each time point of one or more time points during the operation of the wind farm the following steps are performed:
i) obtaining operational data of the wind farm from the repository, wherein the operational data includes technical data of the number of wind turbines, vibration data from drive trains of the wind turbines, the number of subsystems and organizational data indicating tasks to be dealt with in the wind farm in the future;
ii) obtaining environmental data provided by a wind farm measuring device;
iii) determining, for a predetermined time interval, a prediction of the operation and/or states of the wind farm by processing the operational data and the environmental data by a trained data driven model, where the operational data and the environmental data are fed as a digital input to the trained data driven model and the trained data driven model provides the prediction of the operation and/or states of the wind farm as a digital output;
iv) obtaining operational conditions of the wind farm resulting from current or past user machine interactions of a user and one of the wind turbines and/or the subsystems, wherein the operational conditions, comprising measured frequency of vibration of the wind turbines, are obtained within the predetermined time interval; and
v) determining from the digital output of the prediction of the operation and/or states of the wind farm an unauthorized access to the wind farm by comparing the operational conditions with the prediction of the operation and/or states of the wind farm, the unauthorized access having a predetermined deviation of the obtained operational conditions from the prediction of the operation and/or states of the wind farm, wherein the operational data and/or the operational conditions are obtained by a digital condition monitoring system, and wherein the digital condition monitoring system is a vibration monitoring system.