Using mixed-integer programming to solve power grid blackout problems

We consider optimization problems related to the prevention of large-scale cascading blackouts in power transmission networks subject to multiple scenarios of externally caused damage. We present computation with networks with up to 600 nodes and 827 edges, and many thousands of damage scenarios.

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Bibliographic Details
Published inDiscrete optimization Vol. 4; no. 1; pp. 115 - 141
Main Authors Bienstock, Daniel, Mattia, Sara
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2007
Subjects
Blackouts
Mixed-integer programming
Power flows
Power flows
Mixed-integer programming
Blackouts
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Abstract We consider optimization problems related to the prevention of large-scale cascading blackouts in power transmission networks subject to multiple scenarios of externally caused damage. We present computation with networks with up to 600 nodes and 827 edges, and many thousands of damage scenarios.
AbstractList We consider optimization problems related to the prevention of large-scale cascading blackouts in power transmission networks subject to multiple scenarios of externally caused damage. We present computation with networks with up to 600 nodes and 827 edges, and many thousands of damage scenarios.
Author Bienstock, Daniel
Mattia, Sara
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  organization: DIS, Università “La Sapienza”, Roma, Italy
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Keywords Power flows
Mixed-integer programming
Blackouts
Language English
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Snippet We consider optimization problems related to the prevention of large-scale cascading blackouts in power transmission networks subject to multiple scenarios of...
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SubjectTerms Blackouts
Mixed-integer programming
Power flows
Title Using mixed-integer programming to solve power grid blackout problems
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