TY - GEN
T1 - Power grid vulnerability to geographically correlated failures - Analysis and control implications
AU - Bernstein, Andrey
AU - Bienstock, Daniel
AU - Hay, David
AU - Uzunoglu, Meric
AU - Zussman, Gil
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Cascading Failures
KW - Geographically-Correlated Failures
KW - Network Science
KW - Power Grid
KW - Survivability
UR - http://www.scopus.com/inward/record.url?scp=84904438487&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2014.6848211
DO - 10.1109/INFOCOM.2014.6848211
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AN - SCOPUS:84904438487
SN - 9781479933600
T3 - Proceedings - IEEE INFOCOM
SP - 2634
EP - 2642
BT - IEEE INFOCOM 2014 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
Y2 - 27 April 2014 through 2 May 2014
ER -