Resilient State Estimation in Presence of Severe Coordinated Cyber-Attacks on Large-Scale Power Systems
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PES_2020_final.pdf
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536.7 KB
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Author(s)
Jevtic, Ana
Ilic, Marija
Date Issued
December 2020
Journal
2020 IEEE Power & Energy Society General Meeting
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Jevtić, Ana and Marija Ilić. "Resilient State Estimation in Presence of Severe Coordinated Cyber-Attacks on Large-Scale Power Systems." 2020 IEEE Power & Energy Society General Meeting, August 2020, Montreal, Canada, Institute of Electrical and Electronics Engineers, December 2020. © 2020 IEEE
Version
Author's final manuscript
Abstract
Providing situational awareness in light of severe coordinated cyber-attacks on power grids, where many measurements may be untrusted, is necessary for reliable monitoring and resilient operation of the grid. In this scenario, the set of good measurements is by itself insufficient for state estimation due to loss of observability. In this paper, we present a resilient state estimation algorithm, based on output clustering. By augmenting the measurement set by respective cluster variables, the system observability is regained, and a reliable state estimate can be computed. We show the numerical performance of our proposed algorithm and its ability to successfully replace corrupted measurements using cluster variables through an example on the IEEE 24-bus power system.
MIT Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Lincoln Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/pesgm41954.2020.9281683
