公开(公告)号：US20230296078A1

公开(公告)日：2023-09-21

申请号：US17698040

申请日：2022-03-18

Applicant: General Electric Company

Inventor： Kalpesh Singal ,  Mustafa Tekin Dokucu ,  Fernando Javier D′Amato ,  Georgios Boutselis

IPC: F03D7/04 ,  F03D7/02

CPC classification number: F03D7/046 ,  F03D7/0264 ,  F03D7/045 ,  F05B2270/1031 ,  F05B2270/1074 ,  F05B2270/328 ,  F05B2270/335 ,  F05B2270/709

Abstract: A method for providing backup control for a supervisory controller of at least one wind turbine includes observing, via a learning-based backup controller of the at least one wind turbine, at least one operating parameter of the supervisory controller under normal operation. The method also includes learning, via the learning-based backup controller, one or more control actions of the at least one wind turbine based on the operating parameter(s). Further, the method includes receiving, via the learning-based backup controller, an indication that the supervisory controller is unavailable to continue the normal operation. Upon receipt of the indication, the method includes controlling, via the learning-based backup controller, the wind turbine(s) using the learned one or more control actions until the supervisory controller becomes available again. Moreover, the control action(s) defines a delta that one or more setpoints of the wind turbine(s) should be adjusted by to achieve a desired outcome.