DocumentCode :
2919903
Title :
Reliability and Dependability Analysis for Agent-Based Reliability Enhancement Technology (ARET) System
Author :
Guan, Qiang ; Han, Seung-Soo
Author_Institution :
Dept. of Inf. Eng., Myongji Univ., Yongin
fYear :
2009
fDate :
20-22 Feb. 2009
Firstpage :
267
Lastpage :
271
Abstract :
As a general rule for evaluating dependability of a system, reliability and dependability is commonly considered which barely pays attention to the stability of system components. This means that estimation does not deal with mis-operation caused by environment and operation in SAS (substation automation system). In this paper an integrated reliability and dependability analysis is proposed to analyze SAS (substation automation system). With absorbing continuous time Markov process, the analysis can be well applied to estimate and quantify system robustness. In this research, the analysis applied to the actually implemented, dual system and newly proposed IEC61850-based backup system, named ARET (agent-based reliability enhancement technology) system. Comparative analysis has shown that: By introducing the standard of IEC61850 into the system, not only the system dependability was promoted, but also the system reliability was enhanced greatly.
Keywords :
Markov processes; multi-agent systems; substation automation; IEC61850; agent-based reliability enhancement technology system; continuous time Markov process; dependability analysis; reliability analysis; substation automation system; system components. stability; Availability; Information analysis; Information security; Performance analysis; Power engineering computing; Power system reliability; Substation automation; Substation protection; Synthetic aperture sonar; System analysis and design; Substation automation system; reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Computer Technology, 2009 International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3559-3
Type :
conf
DOI :
10.1109/ICECT.2009.141
Filename :
4795964
Link To Document :
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