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