A new methodology of fault location for predictive maintenance of transmission lines

被引：12

作者：

da Silva, Paula Renatha N. ^{[1
]}

Negrao, Martin Max L. C. ^{[2
]}

Vieira Junior, Petronio ^{[2
]}

Sanz-Bobi, Miguel A. ^{[3
]}

机构：

[1] Fed Univ W Para, Inst Engn & Geosci, BR-68035110 Santarem, Brazil

[2] Fed Univ Para, Inst Technol, Sch Elect Engn, BR-66075900 Belem, Para, Brazil

[3] Pontificia Comillas Univ, ICAI Sch Engn, Inst Technol Invest, Madrid 28015, Spain

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2012年 / 42卷 / 01期

关键词：

Fault location; Harmonic decomposition; Leakage current; Transmission line; Artificial neural networks; NEURAL-NETWORK; CLASSIFICATION;

D O I：

10.1016/j.ijepes.2012.04.057

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：

This paper presents a new methodology for monitoring, in real-time, the conditions of the insulation of an power transmission line, detecting and locating anomalies in its operation, before the supply of power is interrupted, thus allowing for preventive maintenance. This method uses the harmonic decomposition of the leakage current to analyze the condition of line insulation and employs a neural network to locate the fault. Experimental measurements were obtained to validate the simulated results. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：568 / 574

页数：7

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