DocumentCode :
170868
Title :
Power grid vulnerability to geographically correlated failures — Analysis and control implications
Author :
Bernstein, Andrey ; Bienstock, Daniel ; Hay, David ; Uzunoglu, M. ; Zussman, Gil
Author_Institution :
Sch. of Comput. & Commun. Sci., EPFL, Lausanne, Switzerland
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
2634
Lastpage :
2642
Abstract :
We consider line outages in the transmission network of the power grid, and specifically those caused by natural disasters or large-scale physical attacks. In such networks, an outage of a line may lead to overload on other lines, thereby leading to their outage. Such a cascade may have devastating effects not only on the power grid but also on the interconnected communication networks. We study a model of such failures and show that it differs from other models used to analyze cascades (e.g., epidemic/percolation-based models). Inspired by methods developed for network-survivability analysis, we show how to identify the most vulnerable locations in the network. We also perform extensive numerical experiments with real grid data to estimate the effects of geographically correlated outages and briefly discuss mitigation methods. The developed techniques can indicate potential locations for grid monitoring, and hence, will have impact on the deployment of the smart-grid networking infrastructure.
Keywords :
failure analysis; power transmission lines; power transmission reliability; smart power grids; geographically correlated failures; geographically correlated outage effects; grid monitoring; interconnected communication networks; large-scale physical attacks; line outages; mitigation methods; natural disasters; network-survivability analysis; power grid vulnerability; smart-grid networking infrastructure; transmission network; Analytical models; Computational modeling; Computers; Numerical models; Power grids; Power system faults; Power system protection; Cascading Failures; Geographically-Correlated Failures; Network Science; Power Grid; Survivability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFOCOM.2014.6848211
Filename :
6848211
Link To Document :
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