Smart grid monitoring for intrusion and fault detection with new locally optimum testing procedures

The vulnerability of smart grid systems is a growing concern. Signal detection theory is employed here to detect a change in the system. We employ a discrete-time linear state space model to capture the dynamic time behavior of the system. Since small changes are often difficult to detect, we develop new locally optimum tests for changes in matrices or vectors and apply them to smart grid intrusion and fault detection problems. The proposed tests are shown to have superior performance when compared to traditional methods.