2020/04/08 by Ana Jevtić, Jevtić, Ana, Marija Ilić +1
Engineering · #FOS: Electrical engineering #Fault Detection and Control Systems #Power System Optimization and Stability #Smart Grid Security and Resilience #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2004.05143
openalex publication_date 2020/04/08 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Providing situational awareness in light of severe coordinated cyber-attacks\non power grids, where many measurements may be untrusted, is necessary for\nreliable monitoring and resilient operation of the grid. In this scenario, the\nset of good measurements is by itself insufficient for state estimation due to\nloss of observability. In this paper, we present a resilient state estimation\nalgorithm, based on output clustering. By augmenting the measurement set by\nrespective cluster variables, the system observability is regained, and a\nreliable state estimate can be computed. We show the numerical performance of\nour proposed algorithm and its ability to successfully replace corrupted\nmeasurements using cluster variables through an example on the IEEE 24-bus\npower system.\n