This letter proposes a statistical consistency check-based imperfect false data injection attacks detector that is more effective than the conventional residual-based methods. It is shown that the proposed detector could detect attacks with high probability by using a limited number of secure PMU measurements even if the probability of the false alarm is low. Numerical results validate its effectiveness and practicability.
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Zhao et al. (2016) studied this question.
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