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ESTIMATING FAILURE PROPAGATION IN MODELS OF CASCADING BLACKOUTS

Published online by Cambridge University Press:  31 August 2005

Ian Dobson
Affiliation:
ECE Department, University of Wisconsin, Madison, Wisconsin 53706, E-mail: dobson@engr.wisc.edu
Benjamin A. Carreras
Affiliation:
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, E-mail: carrerasba@ornl.gov
Vickie E. Lynch
Affiliation:
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, E-mail: carrerasba@ornl.gov
Bertrand Nkei
Affiliation:
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, E-mail: carrerasba@ornl.gov
David E. Newman
Affiliation:
Physics Department, University of Alaska, Fairbanks, Alaska 99775, E-mail: ffden@uaf.edu

Abstract

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 system blackout model of cascading transmission line overloads. The comparisons suggest mechanisms affecting failure propagation and are an initial step toward monitoring failure propagation from practical system data. Approximations to the probabilistic model describe the forms of probability distribution of cascade sizes.

Type
Papers from the 8th International PMAPS Conference
Copyright
© 2005 Cambridge University Press

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References

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