Distributed Secure Estimation Against Unknown FDI Attacks and Load Deviation in Multi-Area Power Systems

• Published in: IEEE transactions on circuits and systems. II, Express briefs Vol. 69; no. 6; pp. 3007 - 3011
• Main Authors: Weng, Shiqing, Weng, Pindi, Chen, Bo, Liu, Shichao, Yu, Li
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Deviation; distributed secure estimation; Estimation; FDI attacks; Frequency control; Linear matrix inequalities; Mathematical analysis; multi-area power systems; Observers; Power measurement; Power system dynamics; Power systems; System effectiveness; Turbines; unknown load deviation
• ISSN: 1549-7747; 1558-3791
• DOI: 10.1109/TCSII.2022.3162239

This brief studies the distributed estimation problem for multi-area power systems where the sensor measurements encounter with false data injection (FDI) attacks. For the large load frequency control (LFC) power systems with unknown load deviation, a distributed intermediate observer based method is proposed to estimate the system states, FDI attack signals and load deviation of each area in the power system. In this case, the gain of each intermediate observer is obtained by constructing a self-relative linear matrix inequality that can be easily solved by the standard software packages. Notice that the computational cost of each estimator is low even though the scale of power systems is large. Finally, the effectiveness of the proposed method is verified by an illustrative example.