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Uncovering Load-Altering Attacks Against N-1 Secure Power Grids: A Rare-Event Sampling Approach. (arXiv:2307.08788v1 [eess.SY])
cs.CR updates on arXiv.org arxiv.org
Load-altering attacks targetting a large number of IoT-based high-wattage
devices (e.g., smart electric vehicle charging stations) can lead to serious
disruptions of power grid operations. In this work, we aim to uncover
spatiotemporal characteristics of LAAs that can lead to serious impact. The
problem is challenging since existing protection measures such as $N-1$
security ensures that the power grid is naturally resilient to load changes.
Thus, strategically injected load perturbations that lead to network failure
can be regarded as \emph{rare …
aim attacks devices electric electric vehicle event grid high impact iot large operations power power grid problem serious smart uncover vehicle work