• DocumentCode
    690652
  • Title

    Analysis of human reliability in power system switching operation considering dependency of operators

  • Author

    Yingkai Bao ; Junxi Tang ; Haibo Lu ; Yue Wang ; Chuangxin Guo ; Zhiliang Yu ; Yongbin Jiang

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The inter dependency between actions of operators is prevalent in power system switching operation, which is necessary to be considered along with restoration when performing human reliability analysis. This paper proposes a novel method of human reliability analysis to evaluate the human error probability considering the dependency between operators. Firstly, the concept of human reliability in power system and the cognitive reliability and error analysis method (CREAM) are introduced. Then, through the analysis of power system switching operation, the factors influencing dependency level are identified and the analytical model of dependence is constructed. Based on fuzzy theory and Bayesian network, a method is proposed to quantify the restoration coefficient. Combined with CREAM extension method, the proposed method can be used to evaluate the final human reliability.
  • Keywords
    belief networks; fuzzy systems; human factors; power engineering computing; power system reliability; power systems; switching substations; Bayesian network; cognitive reliability; error analysis method; fuzzy theory; human error probability; human reliability analysis; operator dependency; power system switching operation; Bayes methods; Organizations; Power system reliability; Reliability; Switches; Switching circuits; Cognitive Reliability and Error Analysis Method; Dependency Between Operators; Human Reliability; Power System Switching Operation; Restoration Coefficient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837155
  • Filename
    6837155