Title :
A Maximum-Flow-Based Complex Network Approach for Power System Vulnerability Analysis
Author :
Dwivedi, Ajendra ; Yu, Xinghuo
Author_Institution :
RMIT Univ., Melbourne, VIC, Australia
Abstract :
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.
Keywords :
complex networks; load flow; power system security; Ford-Fulkerson theorem; IEEE 118 bus system; centrality index; max-flow min-cut theorem; maximum-flow-based complex network; power system vulnerability analysis; sink load nodes; source generator nodes; Admittance; Indexes; Joining processes; Load flow; Power transmission lines; Transmission line matrix methods; Cascading failure; complex networks (CN); computational algorithms; identification; maximum flow; modeling; power systems; vulnerability;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2011.2173944