DocumentCode :
2369564
Title :
A new model of centrality measure based on bidirectional power flow for smart and bulk power transmission grid
Author :
Nasiruzzaman, A.B.M. ; Pota, H.R.
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales at the Australian Defence Force Acad., Canberra, ACT, Australia
fYear :
2012
fDate :
18-25 May 2012
Firstpage :
155
Lastpage :
160
Abstract :
A new model of power system to identify critical elements for smart and bulk power transmission grid environment is presented in this paper. Proposed bidirectional power flow model under complex network framework can quantify the criticality of nodes whose removal would trigger cascading failure. The proposed model based centrality, which is an extension of nominal power flow based model, is able to find nodes whose removal exerts more stress on the system. Several measures of impact like path length increase, boosted connectivity loss, raised load loss and increase in number of overloaded lines justify the use of bidirectional power flow based model to evaluate the criticality in smart grid environment. Change in direction of power flow in various random lines of the test system has a very little effect on the rank of nodes in the critical list.
Keywords :
complex networks; load flow; power overhead lines; power transmission faults; smart power grids; bidirectional power flow model; boosted connectivity loss; bulk power transmission grid; cascading failure; centrality measure model; complex network framework; critical elements identification; model based centrality; node criticality; overloaded lines; path length increase impact; power system model; raised load loss; smart power transmission grid; Complex networks; Generators; Load modeling; Loss measurement; Smart grids; Transmission line measurements; Centrality measure; bidirectional power flow; connectivity loss; load loss; path length; rank similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4577-1830-4
Type :
conf
DOI :
10.1109/EEEIC.2012.6221564
Filename :
6221564
Link To Document :
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