An Online Detection Framework for Cyber Attacks on Automatic Generation Control

TL;DR

This paper introduces an online detection framework using Dynamic Watermarking to identify cyber attacks on Automatic Generation Control systems, ensuring security without hardware modifications.

Contribution

It presents a novel, practically implementable detection algorithm with theoretical guarantees against sophisticated cyber attackers in power systems.

Findings

Effective detection in four-area system

Validated on 140-bus system

No hardware updates needed

Abstract

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.