2013
DOI: 10.1109/tsg.2012.2229398
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Detecting Critical Nodes in Interdependent Power Networks for Vulnerability Assessment

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Cited by 251 publications
(98 citation statements)
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“…We partition the set of players into two sets consisting of high and low edge cost players and show that in any Nash equilibrium, all of the high-cost players that have a low-cost player in their vicinity "free ride" and choose not to construct any interconnections to G 2 . At the end, we provide some insights about our results via a simulation involving random network models that have been previously used to capture interdependencies between power and sensor/communication networks [4], [17], [26], [27]. Our simulations suggest that the social welfare of the constructed networks is higher when all of the players have equal cost of constructing edges, compared to the case where they have heterogeneous edge costs.…”
Section: Introductionmentioning
confidence: 81%
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“…We partition the set of players into two sets consisting of high and low edge cost players and show that in any Nash equilibrium, all of the high-cost players that have a low-cost player in their vicinity "free ride" and choose not to construct any interconnections to G 2 . At the end, we provide some insights about our results via a simulation involving random network models that have been previously used to capture interdependencies between power and sensor/communication networks [4], [17], [26], [27]. Our simulations suggest that the social welfare of the constructed networks is higher when all of the players have equal cost of constructing edges, compared to the case where they have heterogeneous edge costs.…”
Section: Introductionmentioning
confidence: 81%
“…Here, we use the same experimental setup as [26], where networks G 1 and G 2 have a synthetic scale-free (SF) structure. Such scale-free networks have also been used to model power and communication networks in many of the other works in this area [1], [3], [27].…”
Section: Simulation and Numerical Analysismentioning
confidence: 99%
“…Figure 4 shows the illustration and degree of distribution of the power grid network. Due to the lack of computer control network data, we use a BA scale-free network instead [15,48], with N BA = 4941 and <K BA > ≈ 4, to construct power-BA interdependent networks.…”
Section: Infrastructure Networkmentioning
confidence: 99%
“…In this work, we follow the cascading failure model described in [1] which has since been widely used in the literature as the basis of several studies (e.g., [2], [19], [20], [21]). In this model, a cascading failure begins with the failure (i.e., removal) of a fraction, 1 p of nodes from network A.…”
Section: B Cascading Failure Modelmentioning
confidence: 99%