ANN distance protection for transmission lines

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

International Journal of Emerging Trends in Engineering Research

Volume

7

Issue

8

First Page

145

Last Page

150

Publication Date

1-1-2019

Abstract

When using transmission lines, faults often happen during the flow of signals. One way to protect transmission lines is to use distance protection relays. These types of relays, however, are still affected by fault resistance. Fault conditions often follow a certain pattern. Having a relay that recognizes these patterns can help improve performance. This paper presents a method to implement this using an artificial neural network (ANN). An ANN is one of the many applications of machine learning, which in meaning, is the algorithms that give the ability to computers to obtain knowledge through data and adapt to make certain deductions and choices. This paper will only consider the effect of the fault resistance of a single line-to-ground type of fault. The ANN should be programmed to identify numerous patterns that each correspond to different fault conditions. This will help in identifying and classifying unknown patterns detected in the transmission lines. © 2019, World Academy of Research in Science and Engineering. All rights reserved.

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Digitial Object Identifier (DOI)

10.30534/ijeter/2019/07782019

Disciplines

Electrical and Computer Engineering

Keywords

Neural networks (Computer science); Fault-tolerant computing; Telecommunication lines

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