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We consider fault detection through apparent changes in the bus susceptance parameters of modern power grids. We formulate the problem using a linear errors-invariables model and derive its corresponding generalized likelihood ratio (GLRT) based on the total least squares (TLS) methodology. Next, we propose a competing detection technique based on the recently proposed total maximum likelihood (TML)...
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...
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