US 12,334,730 B2
Systems and methods for malicious control detection in a power grid
Balakrishna Pamulaparthy, Hyderabad (IN); and Palak Praduman Parikh, Markham (CA)
Assigned to GE Vernova Infrastructure Technology LLC, Greenville, SC (US)
Filed by GE Vernova Infrastructure Technology LLC, Greenville, SC (US)
Filed on Apr. 11, 2023, as Appl. No. 18/298,892.
Prior Publication US 2024/0348047 A1, Oct. 17, 2024
Int. Cl. H02J 3/00 (2006.01); G01R 19/25 (2006.01); H02J 13/00 (2006.01)
CPC H02J 3/0012 (2020.01) [G01R 19/2513 (2013.01); H02J 13/00002 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A system for malicious control detection in a power grid, the system comprising:
at least one node configured to detect power grid parameters for each power phase, the at least one node being configured to generate a signal indicative of time-series sensor measurements for the each power phase; and
a controller in communication with the node, wherein the controller is configured to:
receive from the at least one node, the respective signals;
extract at least one feature from the respective signals;
provide the at least one feature as an input to a deep-learning model;
receive an output from the deep-learning model indicative of a relationship between the power grid parameters and a node health associated with the at least one node;
generate a status tag associated with the at least one node based at least in part on a comparison of the output to planned maintenance, wherein the status tag is normal or malicious; and
generate a status signal indicative of the status tag.