DocumentCode
2581020
Title
Electrical centrality measures for electric power grid vulnerability analysis
Author
Wang, Zhifang ; Scaglione, Anna ; Thomas, Robert J.
Author_Institution
Inf. Trust Inst., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2010
fDate
15-17 Dec. 2010
Firstpage
5792
Lastpage
5797
Abstract
Centrality measures are used in network science to rank the relative importance of nodes and edges of a graph. Here we define new measures of centrality for power grid structure that are based on its functionality. We show that the relative importance analysis based on centrality in graph theory can be generalized to power grid network with its electrical parameters taken into account. In the paper we experiment with the proposed electrical centrality measures on the NYISO-2935 system and the IEEE 300-bus system. We analyze the centrality distribution in order to identify important nodes or branches in the system which are of essential importance in terms of system vulnerability. We also present and discuss a number of interesting discoveries regarding the importance rank of power grid nodes and branches.
Keywords
graph theory; power grids; IEEE 300-bus system; NYISO-2935 system; electric power grid vulnerability analysis; electrical centrality measure; graph theory; network science; power grid nodes; Admittance; Correlation; Laplace equations; Network topology; Power grids; Power measurement; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location
Atlanta, GA
ISSN
0743-1546
Print_ISBN
978-1-4244-7745-6
Type
conf
DOI
10.1109/CDC.2010.5717964
Filename
5717964
Link To Document