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
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;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5535919