PI: Shalinee Kishore, Lehigh University
The integration of renewable generation brings randomness to the power system which can be exploited by attackers to hide manipulative acts. Consequences of cyber-physical attacks or uncertain and variable renewable generation include the possibility of destabilized grid dynamics.
The proposed work here aims to study and counter a new class of intelligent and dynamic attacks that mimic renewable generation patterns to interfere with the system stability. In particular, the generator’s renewable output can be altered by false data injection. This project first assesses renewable generation altering attacks’ impact on real-time frequency control, and then studies an intrusion detection tool.