Abstract: In this paper, we address the problem of finite-time fault estimation for multi-area power systems under false data injection (FDI) attacks. The increasing sophistication of cyber attacks poses significant risks to the reliable operation of power systems, especially when they are geographically distributed and interconnected. We propose a novel fault estimation scheme that guarantees accurate detection of faults within a finite time, despite the presence of FDI attacks. The proposed method leverages a combination of Lyapunov-based analysis and adaptive observers to achieve robust fault estimation. The effectiveness of the approach is demonstrated through theoretical analysis and validated by simulation results, confirming that the proposed estimator is resilient to FDI attacks and ensures timely fault detection across different areas of the power system.
Submission Number: 245
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