New Approach to Improve High-Voltage Transmission Line Reliability

被引：12

作者：

Adami, J. F. ^{[1
]}

Silveira, P. M. ^{[1
]}

Martinez, M. L. B. ^{[1
]}

Perez, R. C. ^{[1
]}

Dallbello, A. C. ^{[2
]}

机构：

[1] Itajubi Fed Univ UNIFEI, BR-37500903 Itajuba, MG, Brazil

[2] Centrais Elect Matogrossenses SA CEMAT, Rio De Janeiro, Brazil

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2009年 / 24卷 / 03期

关键词：

Digital filters; fault identification; insulators; neural network; signal processing; transmission lines;

D O I：

10.1109/TPWRD.2009.2013669

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

This paper presents a remote fault detection and identification system for transmission lines, permitting elimination, or at least minimizing, the use of maintenance methods employed by power utilities, as a result of its technical potential and capability to reduce operational costs. It consists of a data acquisition system, capable of acquiring and storing high frequency signals present in the transmission lines (TLs). The signals, after their storage, are treated and identified through signal processing techniques such as digital filters and neural networks. This system has been installed in the reception terminal of one power line carrier system, in an electric power utility in Brazil. Many fault-simulating tests were carried out in the transmission line for pattern definition. Therefore, it is possible to develop an algorithm capable of identifying any potential transmission line fault. With the results obtained in this first part of the research, and with the continuity of the project, new signals will be obtained, identified and trained by the neural network.

引用

页码：1515 / 1520

页数：6

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