Intrusion Detection, Measurement Correction, and Attack Localization of PMU Networks

Accurate state estimation is essential for correct supervision of power grids. With the existence cyber-attacks, may become inaccurate, which can eventually lead to wrong supervisory decision making. To detect cyber-attacks in grids equipped with phasor measurement units (PMUs), a new intrusion detection system based on clustering approach, called PMU Intrusion Detection System (PMUIDS), proposed this article. After solving optimal placement N -1 contingency, several static estimations are obtained by removing measurements one each time. The resulting vectors clustered two steps: First, subtractive employed obtain number clusters, determines integrity attacks; and second, fuzzy C-means assigns corresponding attacked PMUs. In addition, theorems proved, indicate that attacker cannot coordinate successful stealth attacks cases PMUs from estimation, still remains full observable. Furthermore, case possible attacks, falsify any arbitrary variable. hardware-in-the-loop results sample show approach determine vector, localize even multiple simultaneous attacks.