DocumentCode :
623046
Title :
Reliability performance analysis in power distribution system using Weibull distribution-A case study
Author :
Aliyari, Mostafa ; Baghshani, Vahid ; Barabadi, Abass
Author_Institution :
North Khorasan Electr. Distrib. Co., Iran
fYear :
2013
fDate :
April 30 2013-May 1 2013
Firstpage :
1
Lastpage :
6
Abstract :
In planning and operation of an electric power distribution system, accurate estimation of the reliability performance of its different components is a fundamental and challenging part. Weibull probability distribution has been used frequently for the reliability performance analysis. Over the years several new distributions have been proposed that are either derived from, or in some way related to, the Weibull distributions. They provide a richness that makes them appropriate to model complex data sets. Effective reliability performance analysis require good understanding of the properties of these different distributions as well as tools and techniques to determine if a particular distribution is appropriate to model a given data set. Many of these derived distributions have their own shape in the Weibull probability plot (WPP). Hence, WPP plot can be used as a tool for model selection through these distributions. This paper presents a case study regarding the reliability performance analysis of the electricity meter based on the field failure data using the Weibull distribution family. Weibull Probability plot (WPP) is used as a tool for the model selection and validation.
Keywords :
Weibull distribution; power distribution reliability; WPP; Weibull probability distribution; Weibull probability plot; complex data sets; data set; electric power distribution system; field failure data; reliability performance analysis; Reliability; Electricity meter; Reliability performance; Weibull distribution; Weibull probability plot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power Distribution Networks (EPDC), 2013 18th Conference on
Conference_Location :
Kermanshah
Print_ISBN :
978-1-4799-0092-3
Type :
conf
DOI :
10.1109/EPDC.2013.6565967
Filename :
6565967
Link To Document :
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