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140365

Artificial Neural Network Fault Detection for Transmission Line Protection.

Article

Last updated: 22 Jan 2023

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Tags

Electrical Engineering

Abstract

 The artificial neural network is a powerful tool for the detection of the transmission line faults due to its ability to differentiate between various patterns. In this paper, simulation of power system under normal and faulty conditions are carried out using electromagnetic transient program. The voltage and current waveforms at the relay location for normal and fault conditions are extracted. The waveforms obtained are preprocessed in order to improve the performance of the neural network used. Three neural networks are built one for fault detection, one for fault type and a third for fault location. The proposed technique is tested with different types of faults and successive decision was reached. 
 

DOI

10.21608/bfemu.2021.140365

Authors

First Name

S.

Last Name

El Safty

MiddleName

M.

Affiliation

College of Engineering Arab Academy for Science and Technology

Email

-

City

-

Orcid

-

First Name

H.

Last Name

El Dessouki

MiddleName

-

Affiliation

College of Engineering Arab Academy for Science and Technology

Email

-

City

-

Orcid

-

First Name

M.

Last Name

El Sawaf

MiddleName

-

Affiliation

College of Engineering Arab Academy for Science and Technology

Email

-

City

-

Orcid

-

Volume

29

Article Issue

3

Related Issue

19657

Issue Date

2004-09-01

Receive Date

2004-07-11

Publish Date

2021-01-17

Page Start

15

Page End

18

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 29_Issue 3_Pages 15-18.pdf

PDF . 91.0kB

Link

https://bfemu.journals.ekb.eg/article_140365.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=140365

Order

10

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

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-

Details

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Article

Created At

22 Jan 2023