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
Link To Document