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In this paper, we present a novel distributed state estimation approach innetworked DC microgrids to detect the false data injection in the microgridcontrol network. Each microgrid monitored by a distributed state estimator willdetect if there is manipulated data received from their neighboring microgridsfor control purposes. A dynamic model supporting the dynamic state estimationwill be constructed for the networked microgrids. The optimal distributed stateestimation, which is robust to load disturbances but sensitive to false datainjected from neighboring microgrids will be presented. To demonstrate theeffectiveness of the proposed approach, we simulate a 12kV three-bus networkedDC microgrids in MATLAB/Simulink. Residual information corresponding to thefalse data injected from neighbors validates the efficacy of the proposedapproach in detecting compromised agents of neighboring microgrids.

Distributed Optimal Dynamic State Estimation for Cyber Intrusion Detection in Networked DC Microgrids