Time-varying failure rate extraction in electric power distribution equipment

被引：0

作者：

Moon, Jong-Fil ^{[1
]}

Kim, Jea-Chul ^{[2
]}

Lee, Hee-Tae ^{[2
]}

Lee, Sang-Seung ^{[1
]}

Yoon, Yong Tae ^{[3
]}

Song, Kyung-Bin ^{[2
]}

机构：

[1] Korea Elect Engn & Sci Res Inst, Power Syst Lab, Seoul, South Korea

[2] Soongsil Univ, Dept Elect Engn, Seoul, South Korea

[3] Seoul Natl Univ, Sch Elect Engn & Comp Sci, Seoul, South Korea

来源：

2006 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS, VOLS 1 AND 2 | 2006年

关键词：

time-varying failure rate; exponential and weibull distribution function; reliability;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：554 / 559

页数：6

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