Discussions

Wide-area monitoring systems (WAMS) are especially vulnerable to sophisticated data injection cyberattacks, as demonstrated by this work. To provide a resilient distributed solution (in terms of accuracy of supervision) after severe information loss, the authors propose a Bayesian-based approximate filter (BAF). In addition to providing accurate estimates of state variables, this method of Bayesian-based approximate filtering (BAF) smartly balances the three characteristics of security, communication overhead, and computational complexity using upper and lower bounds as constraints. This publication in IEEE Transactions on Smart Grid makes it an important topic for both engineers and researchers who are interested in protecting their smart grids from large-scale northern storms.

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