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