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ESTIMATING FAILURE PROPAGATION IN MODELS OF CASCADING BLACKOUTS

Published online by Cambridge University Press:  31 August 2005

Ian Dobson ,
Benjamin A. Carreras ,
Vickie E. Lynch ,
Bertrand Nkei  and
David E. Newman
Ian Dobson
Affiliation:
ECE Department, University of Wisconsin, Madison, Wisconsin 53706, E-mail: [email protected]
Benjamin A. Carreras
Affiliation:
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, E-mail: [email protected]
Vickie E. Lynch
Affiliation:
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, E-mail: [email protected]
Bertrand Nkei
Affiliation:
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, E-mail: [email protected]
David E. Newman
Affiliation:
Physics Department, University of Alaska, Fairbanks, Alaska 99775, E-mail: [email protected]
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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
Information
Probability in the Engineering and Informational Sciences , Volume 19 , Issue 4 , October 2005 , pp. 475 - 488
Copyright
© 2005 Cambridge University Press

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References

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