• 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