DocumentCode
2061569
Title
Power system key lines identification based on cascading failure and vulnerability evaluation
Author
Wu Xu ; Zhang Jianhua ; Wu Linwei ; Zhu Xingyang
Author_Institution
North China Electr. Power Univ., Beijing, China
fYear
2012
fDate
10-14 Sept. 2012
Firstpage
1
Lastpage
4
Abstract
Critical segments in power system are closely related to cascading failures. Therefore, how to identify and quantify critical segments in a grid has become a hot topic of power system emergency and early warning. According to hidden failure model and power flow transferring, a searching mode of cascading failures was introduced in this paper, based on operational reliability model of lines. Utility theory is introduced to define the severity of the contingency. And a composite risk indicator for cascading failures is obtained by integrating the various risk indicators, which is based on the entropy and the analytic hierarchy process. According to complex network theory, vulnerability indicators are further proposed for the identification of key lines. Taking a district grid in Henan for example, the vulnerable lines in it are identified. The results demonstrate that improving a few key lines identified can make the grid avoid large blackouts.
Keywords
alarm systems; analytic hierarchy process; complex networks; entropy; failure analysis; load flow; network theory (graphs); power cables; power grids; power system identification; power transmission reliability; Henan district grid; analytic hierarchy process; cascading failure; complex network theory; composite risk indicator; critical segment identification; early warning; entropy; hidden failure model; large blackout avoidance; operational reliability model; power flow transferring; power system emergency; power system key lines identification; searching mode; utility theory; vulnerability evaluation; vulnerability indicators; cascading failure; key lines; power system; risk indicator; vulnerability evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution (CICED), 2012 China International Conference on
Conference_Location
Shanghai
ISSN
2161-7481
Print_ISBN
978-1-4673-6065-4
Electronic_ISBN
2161-7481
Type
conf
DOI
10.1109/CICED.2012.6508625
Filename
6508625
Link To Document