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
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;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5717964