DocumentCode :
800894
Title :
New Approach to Improve High-Voltage Transmission Line Reliability
Author :
Adami, J.F. ; Silveira, P.M. ; Martinez, M.L.B. ; Perez, R.C. ; Dallbello, A.C.
Author_Institution :
Itajuba Fed. Univ. (UNIFEI), Itajuba
Volume :
24
Issue :
3
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
1515
Lastpage :
1520
Abstract :
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.
Keywords :
fault location; learning (artificial intelligence); power engineering computing; power transmission faults; power transmission lines; power transmission reliability; signal processing; electric power utility; high-voltage transmission line reliability; operational cost reduction; potential transmission line fault; power line carrier system; remote fault detection; signal processing technique; Digital filters; fault identification; insulators; neural network; signal processing; transmission lines;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2009.2013669
Filename :
4907236
Link To Document :
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