DocumentCode :
2641625
Title :
Reliability Assessment of Power Systems Based on Element Time Sequential by Bayesian Networks
Author :
Hu, Jie ; Huo, Limin ; Guo, Lirui ; Yin, Jinliang ; Xie, Yunfang
Author_Institution :
Dept. of Mech. & Electron. Eng. Agric., Univ. of Hebei Baoding, Baoding
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
579
Lastpage :
579
Abstract :
Bayesian network can represent probabilistic information flexibly, and to make inference on it . With the time sequential simulation Technique, the Bayesian topological structure and the Bayesian bidirectional inference method used in the distribution systems for the reliability assessment, the influence of each element or several elements to the reliability of the whole system can be gained conveniently, and the correlative data that relate to the time and the fault times can be gotten easily as well. Thus the shortcomings of traditional reliability assessment methods are overcomed . According to verification with the models, the effectiveness and advantage of the reliability assessment with the Bayesian network method used in the distribution systems is better.
Keywords :
Bayes methods; power distribution reliability; Bayesian bidirectional inference method; Bayesian topological structure; distribution systems; element time sequential; power system reliability assessment; Analytical models; Bayesian methods; Computer networks; Distributed computing; Failure analysis; Power engineering and energy; Power system measurements; Power system planning; Power system reliability; Reliability engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.441
Filename :
4603768
Link To Document :
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