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A Mixed Integer Programming Model for Evaluating the Hidden Probabilities of N-k Line Contingencies in Smart Grids

In contingency analysis of large-scale power systems, the high-order contingencies involving a relatively large number of component failures are traditionally assumed to have a very low occurrence probability. However, this may underestimate the probability of some <inline-formula> <tex-math notation=LaTeX>

Screening Hidden N-k Line Contingencies in Smart Grids using a Multi-stage Model

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Mitigating False Data Attacks Induced Overloads using a Corrective Dispatch Scheme

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Cyber Cascades Screening Considering the Impacts of False Data Injection Attacks

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An Intrainterval Security Risk Regarding Regulation Burden Due to Wind Variation in High-Wind-Penetrated Power Systems

</tex-math></inline-formula> contingencies and thus pose risk to the reliable system operations considering that those contingencies would cause severe consequences. In this paper, we investigate the problem of hidden <inline-formula> <tex-math notation=LaTeX>

Assessment of Dispatch Intervals in Power Systems with High Wind Penetration

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Fast Screening of High-Risk Lines under False Data Injection Attacks

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Preventive Mitigation Strategy for the Hidden N-k Line Contingencies in Power Systems

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False Data Injection Attacks Induced Sequential Outages in Power Systems

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Intra-Interval Security based Dispatch for Power Systems with High Wind Penetration

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