Assessing the effect of geographically correlated failures on interconnected power-communication networks

We study the reliability of power transmission networks under regional disasters. Initially, we quantify the effect of large-scale non-targeted disasters and their resulting cascade effects on power networks. We then model the dependence of data networks on the power systems and consider network rel...

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Main Authors: Neumayer, Sebastian J., Modiano, Eytan H
Other Authors: Lincoln Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2018
Online Access:http://hdl.handle.net/1721.1/117077
https://orcid.org/0000-0001-8238-8130
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author Neumayer, Sebastian J.
Modiano, Eytan H
author2 Lincoln Laboratory
author_facet Lincoln Laboratory
Neumayer, Sebastian J.
Modiano, Eytan H
author_sort Neumayer, Sebastian J.
collection MIT
description We study the reliability of power transmission networks under regional disasters. Initially, we quantify the effect of large-scale non-targeted disasters and their resulting cascade effects on power networks. We then model the dependence of data networks on the power systems and consider network reliability in this dependent network setting. Our novel approach provides a promising new direction for modeling and designing networks to lessen the effects of geographical disasters.
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spelling mit-1721.1/1170772022-10-01T04:01:50Z Assessing the effect of geographically correlated failures on interconnected power-communication networks Neumayer, Sebastian J. Modiano, Eytan H Lincoln Laboratory Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Neumayer, Sebastian J. Modiano, Eytan H We study the reliability of power transmission networks under regional disasters. Initially, we quantify the effect of large-scale non-targeted disasters and their resulting cascade effects on power networks. We then model the dependence of data networks on the power systems and consider network reliability in this dependent network setting. Our novel approach provides a promising new direction for modeling and designing networks to lessen the effects of geographical disasters. National Science Foundation (U.S.). (grant CNS-1017800) National Science Foundation (U.S.). (grant CNS-0830961) United States. Defense Threat Reduction Agency (HDTRA-09-1-005 ) United States. Defense Threat Reduction Agency (HDTRA-1-13-10021) 2018-07-24T15:51:50Z 2018-07-24T15:51:50Z 2013-10 Article http://purl.org/eprint/type/ConferencePaper 978-1-4799-1526-2 http://hdl.handle.net/1721.1/117077 Neumayer, Sebastian, and Eytan Modiano. “Assessing the Effect of Geographically Correlated Failures on Interconnected Power-Communication Networks.” 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) (October 2013). https://orcid.org/0000-0001-8238-8130 en_US http://dx.doi.org/10.1109/SmartGridComm.2013.6687985 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Prof. Modiano
spellingShingle Neumayer, Sebastian J.
Modiano, Eytan H
Assessing the effect of geographically correlated failures on interconnected power-communication networks
title Assessing the effect of geographically correlated failures on interconnected power-communication networks
title_full Assessing the effect of geographically correlated failures on interconnected power-communication networks
title_fullStr Assessing the effect of geographically correlated failures on interconnected power-communication networks
title_full_unstemmed Assessing the effect of geographically correlated failures on interconnected power-communication networks
title_short Assessing the effect of geographically correlated failures on interconnected power-communication networks
title_sort assessing the effect of geographically correlated failures on interconnected power communication networks
url http://hdl.handle.net/1721.1/117077
https://orcid.org/0000-0001-8238-8130
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