Optimization Algorithms for Catching Data Manipulators in Power System Estimation Loops

In this paper, we develop a set of algorithms that can detect the identities of malicious data manipulators in distributed optimization loops for estimating oscillation modes in large-power system models. The estimation is posed in terms of a consensus problem among multiple local estimators that jointly solve for the characteristic polynomial of the network model. If any of these local estimates ...