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