DocumentCode
3353858
Title
Research on the electric power grid vulnerability under the directed-weighted topological model based on Complex Network Theory
Author
Wei, Zhenbo ; Liu, Junyong
Author_Institution
Sch. of Eng. & Inf., Sichuan Univ., Chengdu, China
fYear
2010
fDate
26-28 June 2010
Firstpage
3927
Lastpage
3930
Abstract
The vulnerability of electric power grid under the topological model is analyzed based on Complex Network Theory in this paper. And a directed-weighted topological model based on the P-Q networks decomposition is proposed. Firstly the electric power network topological model is decomposed into active and reactive networks ones. Then the direction and weight of line, which is according to the operation state and the physical characteristic of electric power network respectively, is computed. Lastly combination with Complex Network theory, the vulnerability of electric power network is analyzed. The results of IEEE 14 bus power system example showed that the proposed model has a better reflection to the operational and physical characteristic of power grid. And comparing with others vulnerability and sensitivity analysis methods, it has a more effective identification to vulnerable part of the network. Meanwhile, it is verified that the proposed model is reasonable and effective.
Keywords
distribution networks; power grids; sensitivity analysis; transmission networks; IEEE 14 bus power system; P-Q networks decomposition; active-reactive networks; complex network theory; directed-weighted topological model; electric power grid vulnerability; electric power network topological model; sensitivity analysis; Complex networks; Failure analysis; Power system analysis computing; Power system faults; Power system modeling; Power system protection; Power systems; Power transmission lines; Reactive power; Transmission line theory; P-Q networks decomposition; complex network theory; the directed-weighted topological model; the electric power grid vulnerbility;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5535919
Filename
5535919
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