DocumentCode :
3388399
Title :
Critical node identification of smart power system using complex network framework based centrality approach
Author :
Nasiruzzaman, A.B.M. ; Pota, Hemanshu R.
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales at ADFA, Canberra, ACT, Australia
fYear :
2011
fDate :
4-6 Aug. 2011
Firstpage :
1
Lastpage :
6
Abstract :
A method of critical node identification in a power system is presented in this paper. Maximum flow in a network is used to measure centrality of various nodes in the power system. The proposed approach is an improvement of previous methodology in the sense that it does not take into consideration shortest electrical distance as path to flow power. Instead of using normal steady-state condition maximum possible flow is considered. Simulation of various standard test systems are carried out to identify critical nodes.
Keywords :
load flow; smart power grids; bidirectional power flow; complex network framework; critical node identification; normal steady-state condition maximum possible flow; shortest electrical distance; smart grid system; smart power system; Analytical models; Load modeling; Power grids; Power system faults; Power system protection; Power transmission lines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2011
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-0417-8
Electronic_ISBN :
978-1-4577-0418-5
Type :
conf
DOI :
10.1109/NAPS.2011.6025194
Filename :
6025194
Link To Document :
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