Data mining and analysis of tree-caused faults in power distribution systems

被引：12

作者：

Xu, Le ^{[1
]}

Chow, Mo-Yuen ^{[1
]}

Taylor, Leroy S. ^{[2
]}

机构：

[1] North Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27695 USA

[2] Duke Energy, Charlotte, NC 28201 USA

来源：

2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5 | 2006年

基金：

美国国家科学基金会;

关键词：

power distribution systems; data mining; statistical analysis; logistic regression; tree-caused distribution faults;

D O I：

10.1109/PSCE.2006.296481

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The reliability and quality of power distribution systems are affected by different distribution faults. Trees are one of the major fault causes. In this paper, four different measures: actual measure, normalized measure, relative measure, and likelihood measure are used to data mine the Duke Energy Distribution Outage Database for meaningful data features and to analyze the characteristics of tree-caused distribution faults. This paper also applies statistical techniques to analyze tree-caused faults with respect to several selected influential factors. The results can be used to assist power distribution engineers to provide a more effective fault restoration system and design a more effective tree-fault prevention strategy.

引用

页码：1221 / +

页数：2

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