New Approach to Improve High-Voltage Transmission Line Reliability

New Approach to Improve High-Voltage Transmission Line Reliability

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...

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Bibliographic Details
Published in:IEEE transactions on power delivery Vol. 24; no. 3; pp. 1515 - 1520
Main Authors: Adami, J.F., Silveira, P.M., Martinez, M., Perez, R.C., Dallbello, A.C.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01-07-2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Applied sciences
Brazil
Capacitors. Resistors. Filters
Costs
Data acquisition
Digital filters
Disturbances. Regulation. Protection
Electric potential
Electric power generation
Electric power lines
Electric utilities
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Fault detection
Fault diagnosis
fault identification
insulators
Maintenance
Miscellaneous
neural network
Neural networks
Power networks and lines
Power system reliability
Power transmission lines
Signal processing
Studies
Testing. Reliability. Quality control
Transmission lines
Utilities
Various equipment and components
South America
Brazil
America
Cost minimization
Electric energy transportation
Power system stability
Electric utility
Digital filters
fault identification
Learning
Digital filter
Data acquisition system
Transmission line
Electric power
Dielectric materials
Maintenance
Neural network
Algorithm
Power system faults
transmission lines
Electrical network
Signal processing
insulators
Economic aspect
Reliability
High frequency
High voltage line
Train
Fault diagnostic
Defect detection
Power transmission line
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Description
Summary: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.
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ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2009.2013669