Time-varying failure rate extraction in electric power distribution equipment

Author

Moon, Jong-Fil ; Kim, Jea-Chul ; Lee, Hee-Tae ; Lee, Sang-Seung ; Yoon, Yong Tae ; Song, Kyung-Bin

Author_Institution

Power Syst. Lab., Korea Electr. Eng. & Sci. Res. Inst., Seoul

fYear

2006

fDate

11-15 June 2006

Firstpage

1

Lastpage

6

Abstract

Reliability evaluation of power distribution system is very important to both power utilities and customers. It presents the probabilistic number and duration of interruption such as failure rate, SAIDI, SAIFI, and CAIDI. However, it has a fatal weakness at reliability index because of accuracy of failure rate. In this paper, the time-varying failure rate (TFR) of power distribution system equipment is extracted from the recorded failure data of Korea Electric Power Corporation (KEPCO) in Korea. For TFR extraction, it is used that the fault data accumulated by KEPCO during 10 years. The TFR is approximated to bathtub curve using the exponential (random failure) and Weibull (aging failure) distribution function. In addition, Kaplan-Meier estimation is applied to TFR extraction because of incomplete failure data of KEPCO. Finally, probability plot and regression analysis is applied. It is presented that the extracted TFR is more effective and useful than mean failure rate (MFR) through the comparison between TFR and MFR

Keywords

Weibull distribution; electricity supply industry; exponential distribution; failure analysis; power distribution reliability; regression analysis; CAIDI; KEPCO; Kaplan-Meier estimation; Korea; Korea Electric Power Corporation; SAIDI; SAIFI; TFR; Weibull distribution function; aging failure function; bathtub curve; electric power distribution equipment; exponential distribution function; probabilistic number; probability; random failure function; regression analysis; reliability evaluation; time-varying failure rate extraction; Data mining; Failure analysis; Hazards; Moon; Power distribution; Power system reliability; Power systems; Switches; Time varying systems; Weibull distribution; Time-varying failure rate; exponential and weibull distribution function; reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on

Conference_Location

Stockholm

Print_ISBN

978-91-7178-585-5

Type

conf

DOI

10.1109/PMAPS.2006.360275

Filename

4202287