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Previous research has justified the use of a state space model for describing smart grid system dynamics. A fault or intrusion in the grid can be found by recognizing a change in system matrices of the state space model. A new hypothesis testing-based approach using the Locally Optimum Unknown Direction (LOUD) test has been proposed to detect possible changes. Previous work has shown that the LOUD...
Fault detection plays an indispensable role in ensuring the security of smart grid systems. Based on the dynamics of the generators, we show the time evolution of the smart grid system can be modeled by a discrete-time linear state space model. We focus on faults that can be described by changes in system matrices of the state space model. Newly developed locally optimum tests are discussed and utilized...
The security of smart grid systems is under threat as a consequence of sophisticated intrusion and imperceptible faults. To make the smart grid systems more secure, the development of an efficient fault detection approach is significantly important. Considering that the time evolution of a smart grid system can be modeled by a discrete-time linear state space model, we focus on faults that can be...
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