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Approximating a Loading-Dependent Cascading Failure Model With a Branching Process
DOI:10.1109/TR.2010.2055928.png)
Abstract
En 中文
We quantify the closeness of the approximation between two high-level probabilistic models of cascading failure. In one model called CASCADE, failing components successively load the unfailed components, whereas the other model is based on a Galton-Watson branching process. Both models are generic, idealized models of cascading failure of a large, but finite number of components. For suitable parameters, the distributions of the total number of failures from the branching process and CASCADE models are close enough to make the branching process a useful approximation.
Keywords:
Blackout risk
branching process
cascading failure
electric power system reliability
generalized Poisson distribution
quasibinomial distribution
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Testing Branching Process Estimators of Cascading Failure with Data from a Simulation of Transmission Line Outages
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