A Maximum-Flow-Based Complex Network Approach for Power System Vulnerability Analysis

This paper proposes a maximum-flow-based complex network approach for the analysis of the vulnerability of power systems. A new centrality index is proposed, taking into consideration the maximum flow from the source (generator) nodes to the sink (load) nodes, for assessing the network. The Max-Flow...

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Veröffentlicht in:IEEE transactions on industrial informatics Jg. 9; H. 1; S. 81 - 88
Hauptverfasser: Dwivedi, A., Xinghuo Yu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.02.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Admittance
Automotive components
Automotive engineering
Automotive industry
Cascading failure
complex networks (CN)
computational algorithms
Generators
identification
Indexes
Joining processes
Links
Load flow
maximum flow
modeling
Networks
power systems
Power transmission lines
Simulation
Theorems
Transmission line matrix methods
vulnerability
ISSN:1551-3203, 1941-0050
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This paper proposes a maximum-flow-based complex network approach for the analysis of the vulnerability of power systems. A new centrality index is proposed, taking into consideration the maximum flow from the source (generator) nodes to the sink (load) nodes, for assessing the network. The Max-Flow Min-Cut Theorem, also known as Ford-Fulkerson Theorem, is used for evaluating the capacity of links. The proposed methodology is then used to identify vulnerable lines of the IEEE 118 bus system and its effectiveness is demonstrated through simulation studies.
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ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2011.2173944