2009
DOI: 10.1016/j.ijcip.2009.02.002
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Analysis of structural vulnerabilities in power transmission grids

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Cited by 211 publications
(155 citation statements)
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“…Finding network topologies that enhance the stability of power grids has been an active subfield of network theory. Previous studies have typically focused on the structural vulnerability of power grids against external attacks [1][2][3][4][5][6][7] and the cascading spreading of system failure over power grids [6,[8][9][10]. In addition, researchers have studied the relation between topology and dynamics via network synchronization models.…”
Section: Introductionmentioning
confidence: 99%
“…Finding network topologies that enhance the stability of power grids has been an active subfield of network theory. Previous studies have typically focused on the structural vulnerability of power grids against external attacks [1][2][3][4][5][6][7] and the cascading spreading of system failure over power grids [6,[8][9][10]. In addition, researchers have studied the relation between topology and dynamics via network synchronization models.…”
Section: Introductionmentioning
confidence: 99%
“…However, the opposing community asserts that the pure topological CN approach loses the details of the physics behind Kirchhoff's laws and fails at predicting important aspects of power grids. In this respect, as mentioned, hybrid approaches include concepts from EE [82][83][84]96,[98][99][100][101][102]. Nonetheless, the CN approach with purely topological analysis (or even with extended ones to take into account minimal electrical information [34]) has been found to be useful to detect critical elements and to assess topological robustness [35,97,103].…”
Section: Discussion: Is the Cn Approach Useful In Power Grids?mentioning
confidence: 99%
“…An interesting research line belonging to hybrid approaches is the extended topological approach [34,[82][83][84][85]. It includes in the CN methodology novel metrics such as the "entropy degree".…”
Section: Background: Hybrid Approaches Combining Complex Network Andmentioning
confidence: 99%
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