ESTIMATING FAILURE PROPAGATION IN MODELS OF CASCADING BLACKOUTS

Ian Dobson, Benjamin A. Carreras, Vickie E. Lynch, Bertrand Nkei, David E. Newman
<span title="2005-08-31">2005</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rpneo5vrqnhrvdhqx2rs5s2y4m" style="color: black;">Probability in the engineering and informational sciences (Print)</a> </i> &nbsp;
We compare and test statistical estimates of failure propagation in data from versions of a probabilistic model of loading-dependent cascading failure and a power systems blackout model of cascading transmission line overloads. The comparisons suggest mechanisms affecting failure propagation and are an initial step towards monitoring failure propagation from practical system data. Approximations to the probabilistic model describe the forms of probability distributions of cascade sizes.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s026996480505031x">doi:10.1017/s026996480505031x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bl3bodnmjjapvbwmzlf3lbzqju">fatcat:bl3bodnmjjapvbwmzlf3lbzqju</a> </span>
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