An Online Detection Framework for Cyber Attacks on Automatic Generation Control
For power system operators, this work offers a practical and theoretically grounded method to detect cyber attacks on AGC, though it is an incremental application of existing Dynamic Watermarking techniques.
The paper proposes an online detection framework for cyber attacks on Automatic Generation Control (AGC) using Dynamic Watermarking, providing theoretical guarantees against sophisticated attackers. The framework is validated on four-area and 140-bus systems without requiring hardware updates.
We propose an online framework to detect cyber attacks on Automatic Generation Control (AGC). A cyber at- tack detection algorithm is designed based on the approach of Dynamic Watermarking. The detection algorithm provides a theoretical guarantee of detection of cyber attacks launched by sophisticated attackers possessing extensive knowledge of the physical and statistical models of targeted power systems. The proposed framework is practically implementable, as it needs no hardware update on generation units. The efficacy of the proposed framework is validated in both four-area system and 140-bus system.