no code implementations • 30 Oct 2020 • Hao Huang, Varuneswara Panyam, Mohammad Rasoul Narimani, Astrid Layton, Katherine R. Davis
This paper presents an approach to address this challenge through bio-inspired power system network design to improve system reliability and resilience against disturbances.
no code implementations • 16 Feb 2021 • Hao Huang, Zeyu Mao, Mohammad Rasoul Narimani, Katherine R. Davis
Based on each selected branch, the approach constructs the subgraph with parameters of distance and search level, while using branches' LODF metrics as the weights.
no code implementations • 5 Apr 2021 • Osman Boyaci, Amarachi Umunnakwe, Abhijeet Sahu, Mohammad Rasoul Narimani, Muhammad Ismail, Katherine Davis, Erchin Serpedin
False data injection attacks (FDIAs) represent a major class of attacks that aim to break the integrity of measurements by injecting false data into the smart metering devices in power grids.
no code implementations • 24 Apr 2021 • Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis, Muhammad Ismail, Thomas J Overbye, Erchin Serpedin
To the best of our knowledge, this is the first work based on GNN that automatically detects and localizes FDIA in power systems.
no code implementations • 25 Dec 2021 • Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis, Erchin Serpedin
As a highly complex and integrated cyber-physical system, modern power grids are exposed to cyberattacks.