Performance Comparison of State-Observer Algorithms for Mitigation of False Data Injection Attacks on Automatic Generation Control System

This paper presents the performance comparison between Extended Kalman Filter (EKF) and Particle Filter (PF) to maintain the data integrity of a Three-Area Thermal Automatic Generation Control (AGC) system against False Data Injection Attack (FDIA). Simulation study shows that both the state-observer algorithms provide a good estimate of the AGC system states in the presence of FDIA. However, the EKF outperforms PF in terms of reduced computational burden and response time which is crucial to ensure the security of the AGC system data against FDIA.