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dc.contributor.authorMangal, Kunal
dc.contributor.authorLarsen, Alexandra
dc.contributor.authorChryst, Breanne
dc.contributor.authorRojo, Javier
dc.date.accessioned2011-12-06T23:12:50Z
dc.date.available2011-12-06T23:12:50Z
dc.date.issued2011-11-04
dc.identifier.urihttp://hdl.handle.net/10150/196229
dc.description.abstractWe consider the impact that various shocks and stresses have on the reliability of networks with radial topology, such as an electrical power grid. We incorporate the effects of aging, geographical risk, and local dependence between components into a model of overall system reliability. We also simulate how the system fares under extreme weather events, such as hurricanes. Our model gives a flexible and general understanding of how outside forces affect network reliability and can be adapted to a range of specific uses. We run a simulation using this model which yields realistic results.
dc.description.sponsorshipNational Science Foundation, Rice Summer Institute for Statisticsen_US
dc.language.isoen_USen_US
dc.rightsCopyright © is held by the author. 
dc.subjectStatistical modelingen_US
dc.subjecthurricanesen_US
dc.subjectpower griden_US
dc.subjectreliabilityen_US
dc.titleModeling the Effect of Shocks and Stresses on the Reliability of Networks with Radial Topologiesen_US
dc.contributor.departmentUniversity of Arizonaen_US
dc.contributor.departmentCentenary Collegeen_US
dc.contributor.departmentUniversity of Utahen_US
dc.contributor.departmentRice Universityen_US
dc.description.collectioninformationThis item is part of the GPSC Student Showcase collection. For more information about the Student Showcase, please email the GPSC (Graduate and Professional Student Council) at gpsc@email.arizona.edu.en_US
refterms.dateFOA2018-04-12T03:25:26Z
html.description.abstractWe consider the impact that various shocks and stresses have on the reliability of networks with radial topology, such as an electrical power grid. We incorporate the effects of aging, geographical risk, and local dependence between components into a model of overall system reliability. We also simulate how the system fares under extreme weather events, such as hurricanes. Our model gives a flexible and general understanding of how outside forces affect network reliability and can be adapted to a range of specific uses. We run a simulation using this model which yields realistic results.


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