Cyber attack detection in PMU measurements via the expectation-maximization algorithm

This paper presents the detection and identification of cyber attacks in phasor measurement unit (PMU) data using the expectation-maximization algorithm. Power systems today is prone to malicious cyber attack with its greater complexity and dependence on PMUs. While the conventional power system estimation is very advanced and robust, this paper will extend the power system estimation to inherently consider the possibility of malicious cyber attack. The detection is incorporated into the estimation problem in our approach, which will be solved by the EM algorithm. The proposed algorithm is applied on an IEEE 14-bus system to illustrate the performance of the algorithm.