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Computational Science and Engineering > Public > Events > Criticality, Self-Organization, and Cascading Failure in Electric Power System Blackouts
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Criticality, Self-Organization, and Cascading Failure in Electric Power System Blackouts

Ian Dobson, University of Wisconsin-Madison will present Criticality, Self-Organization, and Cascading Failure in Electric Power System Blackouts

What Presentation
When June 30, 2006
from 02:00 pm to 03:00 pm
Where MSB 1147
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Ian Dobson from the University of Wisconsin at Madison will pgive a presentation entitled Criticality, Self-Organization, and Cascading Failure in Electric Power System Blackouts. All are invited to attend.


The large-scale electric power transmission networks that underpin our society occasionally fail in spectacular cascading blackouts. The failures propagate in a rich variety of ways, including redistributed network flows surpassing thresholds. Simulations of the cascading failure in blackouts suggest phase transitions in blackout risk as power system loading is increased. Viewing the slow upgrade of the transmission network as complex system dynamics suggests an explanation for the observed power-law distribution of the sizes of North American blackouts. The network upgrade process continually improves the components that fail in blackouts so that the network engineering is viewed as part of the complex dynamics. We propose to efficiently determine blackout risk from cascading failure simulations by estimating how much failures propagate. This is joint work with Benjamin Carreras at Oak Ridge National Laboratory, Tennessee and David Newman at the University of Alaska at Fairbanks and Kevin Wierzbicki at the University of Wisconsin at Madison.