DocumentCode :
498853
Title :
Application of vulnerability analysis in electric power communication network
Author :
Gao, Hui-sheng ; Guo, Jing
Author_Institution :
Dept. of Electron. & Telecommun. Eng., North China Electr. Power Univ., Baoding, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2072
Lastpage :
2077
Abstract :
The electric power communication network is special for the electric power network. Research on its essential vulnerability is advantageous to strengthen the toughness of the electric system. Take the complex network theory as the foundation, research on topology modeling, the basic parameters and network characteristic, take the service feature and the characteristics of the network structure into account, revising the traditional efficiency function which is regard as the target to measure the vulnerability of the network. Finally, take two actual electric power communication networks, the North China electric network and the Chengde network as example, analyze their characteristics. And then aimed at different failure modes, carry on vulnerability attack to the networks. According to the simulation results, vulnerabilities of the electric power communication networks will be found out; factors which have influence on the vulnerability of electric power communication network can be summarized.
Keywords :
power distribution reliability; power transmission reliability; North China electric network; complex network theory; electric power communication network; failure mode; topology modeling research; vulnerability analysis; Communication networks; Complex networks; Computer networks; Cybernetics; Electronic mail; Intelligent networks; Machine learning; Power engineering and energy; Power system modeling; Telecommunication network topology; Complex network; Electric power communication network; Vulnerability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212210
Filename :
5212210
Link To Document :
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