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- W2013376616 abstract "There has been a growing literature on the malicious data attack (or data injection attack) on power systems. Most existing work focuses on the DC (linear) model with linear state estimators. This paper examines the effects of nonlinearity in the power systems on the effectiveness of malicious data attack on state estimation and real-time market. It is demonstrated that attack algorithms designed for the DC model may not be effective when they are applied to nonlinear system with nonlinear state estimators. Discussion and experiments results about nonlinearity are provided." @default.
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- W2013376616 date "2012-07-01" @default.
- W2013376616 modified "2023-10-05" @default.
- W2013376616 title "On the nonlinearity effects on malicious data attack on power system" @default.
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- W2013376616 doi "https://doi.org/10.1109/pesgm.2012.6345685" @default.
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