Probability distribution of fault in distribution system

Su Sheng; Duan Xianzhong; Wai Lok Chan

doi:10.1109/TPWRS.2008.926078

Probability distribution of fault in distribution system

Su Sheng, Duan Xianzhong, Wai Lok Chan

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

25 Citations (Scopus)

Abstract

This letter analyses time series of two distribution system (DS) fault records to find their probability distribution. Observation indicates that the complementary cumulative distribution function (CCDF) of number of fault per day has a power law tail and that of location of fault has an exponential tail. The data add to the knowledge that is a fundamental basis for developing methods for power system maintenance and reliability.

Original language	English
Pages (from-to)	1521-1522
Number of pages	2
Journal	IEEE Transactions on Power Systems
Volume	23
Issue number	3
DOIs	https://doi.org/10.1109/TPWRS.2008.926078
Publication status	Published - 18 Aug 2008

Keywords

Distribution system
Fault
Probability distribution

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

More information

10.1109/TPWRS.2008.926078

Cite this

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AB - This letter analyses time series of two distribution system (DS) fault records to find their probability distribution. Observation indicates that the complementary cumulative distribution function (CCDF) of number of fault per day has a power law tail and that of location of fault has an exponential tail. The data add to the knowledge that is a fundamental basis for developing methods for power system maintenance and reliability.

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Probability distribution of fault in distribution system

Abstract

Keywords

ASJC Scopus subject areas

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