Data Mining and Analysis of Tree-Caused Faults in Power Distribution Systems
Data Mining and Analysis of Tree-Caused Faults in Power Distribution Systems
复制标题
配电系统树因故障数据挖掘与分析
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
L. Taylor
中科院分区：
文献类型：
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作者：
L. Xu;M. Chow;L. Taylor
配电网故障会影响配电系统的可靠性和供电质量。树木是主要的故障原因之一。本文采用实际测度、归一化测度、相对测度和似然测度四种不同的测度对杜克配电网停电数据库进行数据挖掘，挖掘出有意义的数据特征，并分析了树型故障的特征。本文还应用统计技术分析树引起的故障与几个选定的影响因素。研究结果可用于辅助配电工程师提供更有效的故障恢复系统和设计更有效的树型故障预防策略
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