Distributed Resilient Filtering for Power Systems Subject to Denial-of-Service Attacks

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 49; no. 8; pp. 1688 - 1697
• Main Authors: Chen, Wei, Ding, Derui, Dong, Hongli, Wei, Guoliang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer simulation; Covariance; Cybersecurity; Denial of service attacks; Denial-of-service (DoS) attack; Denial-of-service attack; Difference equations; distributed filtering; Electric power distribution; Filtration; gain perturbations; Mathematical analysis; Matrix methods; Perturbation methods; Power system dynamics; Power system stability; power systems; Recursive methods; resilient filter; State estimation; Symmetric matrices; Upper bounds
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMC.2019.2905253

This paper addresses the distributed resilient filtering problem for a class of power systems subject to denial-of-service (DoS) attacks. A novel distributed filter is first constructed to practically reflect the impact from both cyber-attacks and gain perturbations. For all possible occurrence of DoS attacks and gain perturbations, an upper bound of filtering error covariance is derived by resorting to some typical matrix inequalities. Furthermore, the desired filter gain relying on the solution of two Riccati-like difference equations is obtained with the help of the gradient-based approach and the mathematical induction. The developed algorithm with a recursive form is independent of the global information and thus satisfies the requirements of scalability and distributed implementation online. Finally, a benchmark simulation test is exploited to check the usefulness of the designed filter.