One-Ended Fault Location Method Based on Machine Learning Models

被引：0
|
作者：
Pablo Bohorquez, Juan [1 ]
Ramos, Gustavo [1 ]
机构：
[1] Univ los Andes, Cra 1 18A-12, Bogota 111711, Colombia
来源：
2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING | 2019年
关键词：
fault location; machine learning; wavelet; clarke; !text type='Python']Python[!/text; PowerFactory;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
One-ended impedance based algorithms are the most widely used in fault location, but are prone to several sources of error. In order to overcome these limitations, this paper proposes a new method based on machine learning techniques that uses only the current signals from one of the terminals of the protected line. Clarke's transformation and discrete wavelet energy distribution are used to process the signals, yielding satisfactory results.
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页数：5
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