On Resilience Analysis and Quantification for Wide-Area Control of Power Systems
Yueyun Lu, Chin-Yao Chang, Wei Zhang, Laurentiu D. Marinovici and, Antonio J. Conejo

TL;DR
This paper presents a new framework to analyze and quantify the resilience of wide-area power system controllers against cyber attacks on communication links, using eigenvalue-based metrics and convex optimization techniques.
Contribution
It introduces an optimization-based approach with convex relaxation to compute resilience indices and guarantees stability under all communication attack scenarios.
Findings
Resilience index can be efficiently computed for large systems.
Conditions for guaranteed stability under attacks are derived.
Framework validated on IEEE 39-bus system simulations.
Abstract
Wide-area control is an effective mean to reduce inter-area oscillations of large power systems. Its dependence on communication of remote measurement signals makes the closed-loop system vulnerable to cyber attacks. This paper develops a framework to analyze and quantify resilience of a given wide-area controller under disruptive attacks on certain communication links. Resilience of a given controller is measured in terms of closed-loop eigenvalues under the worst possible attack strategy. The computation of such a resilience index is challenging especially for large-scale power systems due to the discrete nature of the attack strategies. To address the challenge, we propose an optimization-based formulation and a convex relaxation approach to facilitate the computation. Conditions under which the relaxation is exact are derived and an efficient algorithm with guaranteed convergence is…
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Taxonomy
TopicsSmart Grid Security and Resilience · Power System Optimization and Stability · Infrastructure Resilience and Vulnerability Analysis
