TY - GEN
T1 - A Non-Parametric Aggregation Technique for Identifying Critical Nodes in a Network, Using Three Topology-Based Cascade Models
AU - Rocco, Claudio M.
AU - Ramirez-Marquez, José E.
AU - Yajure, César
N1 - Publisher Copyright:
© 2014 American Society of Civil Engineers.
PY - 2014
Y1 - 2014
N2 - Several approaches have been used for assessing the importance of network components during an outage. For example, indicators based on network topology, such as node/links betweeness, allow ranking components from the most to the least important. Such models, however, do not consider specific aspects associated with network components outages that may trigger additional events. For example, the outage of a transmission line in an electric power system could produce a redistribution of the power flow and cause overload in nearby lines. To cope with such effects, several cascade models have been presented in the literature. These models, based on different assumptions, could produce different importance rankings. In this paper, ranks of components derived from three simple cascade models are combined through a non-parametric technique and are able to produce a unique ranking without considering decision-maker preferences. A version of the Italian high voltage power grid illustrates the proposed approach.
AB - Several approaches have been used for assessing the importance of network components during an outage. For example, indicators based on network topology, such as node/links betweeness, allow ranking components from the most to the least important. Such models, however, do not consider specific aspects associated with network components outages that may trigger additional events. For example, the outage of a transmission line in an electric power system could produce a redistribution of the power flow and cause overload in nearby lines. To cope with such effects, several cascade models have been presented in the literature. These models, based on different assumptions, could produce different importance rankings. In this paper, ranks of components derived from three simple cascade models are combined through a non-parametric technique and are able to produce a unique ranking without considering decision-maker preferences. A version of the Italian high voltage power grid illustrates the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=84933566288&partnerID=8YFLogxK
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U2 - 10.1061/9780784413609.068
DO - 10.1061/9780784413609.068
M3 - Conference contribution
AN - SCOPUS:84933566288
T3 - Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
SP - 668
EP - 676
BT - Vulnerability, Uncertainty, and Risk
A2 - Hall, Jim W.
A2 - Au, Siu-Kui
A2 - Beer, Michael
T2 - 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
Y2 - 13 July 2014 through 16 July 2014
ER -