DocumentCode :
2578284
Title :
A stochastic Petri nets approach to dependability analysis of control center networks in smart grid
Author :
Rongfei Zeng ; Yixin Jiang ; Chuang Lin ; Xuemin Shen
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2011
fDate :
9-11 Nov. 2011
Firstpage :
1
Lastpage :
5
Abstract :
As an indispensable infrastructure for the future life, smart grid is being implemented to save energy, reduce costs and increase reliability. In smart grid, control center networks have attracted a great number of attentions, because their security and dependability issues are critical to the entire smart grid. Several studies have been conducted in the field of security, but few work focuses on the dependability analysis of control center networks. In this paper, we adopt a concise mathematic tool, stochastic Petri nets (SPNs), to analyze the dependability of control center networks in smart grid. With the proposed SPNs model, we can measure the dependability from two metrics, i.e., the reliability and availability, through analyzing the transient probability. We also study a specific case to demonstrate the feasibility and efficiency of the proposed model in the dependability analysis of control center networks in smart grid.
Keywords :
Petri nets; power system reliability; power system security; smart power grids; stochastic processes; SPN model; concise mathematic tool; control center networks; dependability analysis; reliability; security issue; smart grid; stochastic Petri net approach; transient probability; Availability; Petri nets; Servers; Smart grids; Substations; Transient analysis; Smart grid; dependability analysis; stochastic petri nets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4577-1009-4
Electronic_ISBN :
978-1-4577-1008-7
Type :
conf
DOI :
10.1109/WCSP.2011.6096966
Filename :
6096966
Link To Document :
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