DocumentCode :
2914343
Title :
Applying Bayesian network to distribution system reliability analysis
Author :
Chengshan, Wang ; Yinghua, Xie
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., China
Volume :
C
fYear :
2004
fDate :
21-24 Nov. 2004
Firstpage :
562
Abstract :
This paper proposes a Bayesian network (BN) model for distribution-system-reliability assessment and reassessment. The zone-based FMEA technique is applied to construct the BN model. During forward propagation of probabilistic information, load-point and system reliability indices are calculated. And the weak points are identified during backward propagation for what-if studies. A dual isomorphic model is used to obtain outage probabilistic indices as well as outage frequency indices. The application of the proposed method to RBTS-Bus6 shows its superiority and validity.
Keywords :
belief networks; failure analysis; power distribution faults; power distribution reliability; power engineering computing; probability; Bayesian network; backward propagation; distribution system reliability analysis; dual isomorphic model; failure-mode-and-effect analysis; forward propagation; load-point indices; outage frequency indices; outage probabilistic indices; probabilistic information; system reliability indices; Automation; Bayesian methods; Failure analysis; Frequency; Optical propagation; Power system modeling; Random variables; Reliability; Switches; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
Type :
conf
DOI :
10.1109/TENCON.2004.1414833
Filename :
1414833
Link To Document :
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