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Performance neuro-fuzzy for power system fault location

This paper is proposed for power systems fault location using Neuron Fuzzy (NF). The NF consists of approaching architecture Neural Network and Fuzzy Sets. The Neural Network is being responsible for detecting faults involving a limited number of components. The fuzzy sets represented diagram consis...

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Main Authors: Azhari Zakri, Azriyenni, Mustafa, Mohd. Wazir
Format: Article
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/40986/
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spelling my.utm.409862017-08-30T07:39:08Z http://eprints.utm.my/id/eprint/40986/ Performance neuro-fuzzy for power system fault location Azhari Zakri, Azriyenni Mustafa, Mohd. Wazir TK Electrical engineering. Electronics Nuclear engineering This paper is proposed for power systems fault location using Neuron Fuzzy (NF). The NF consists of approaching architecture Neural Network and Fuzzy Sets. The Neural Network is being responsible for detecting faults involving a limited number of components. The fuzzy sets represented diagram consisting of three node, that are; node1 for the system components, and node 2 for relays, node 3 for the circuit breakers. The NF uses primary and backup information to protective devices and to set generate training. The NF can be retained and estimated effectively. The software was conducted to show the effectiveness of the proposed NF is tested by using 13 bus test system. 2013 Article PeerReviewed Azhari Zakri, Azriyenni and Mustafa, Mohd. Wazir (2013) Performance neuro-fuzzy for power system fault location. International Journal of Engineering and Technology (IJET), 3 (4). pp. 497-501. ISSN 2049-3444
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Azhari Zakri, Azriyenni
Mustafa, Mohd. Wazir
Performance neuro-fuzzy for power system fault location
description This paper is proposed for power systems fault location using Neuron Fuzzy (NF). The NF consists of approaching architecture Neural Network and Fuzzy Sets. The Neural Network is being responsible for detecting faults involving a limited number of components. The fuzzy sets represented diagram consisting of three node, that are; node1 for the system components, and node 2 for relays, node 3 for the circuit breakers. The NF uses primary and backup information to protective devices and to set generate training. The NF can be retained and estimated effectively. The software was conducted to show the effectiveness of the proposed NF is tested by using 13 bus test system.
format Article
author Azhari Zakri, Azriyenni
Mustafa, Mohd. Wazir
author_facet Azhari Zakri, Azriyenni
Mustafa, Mohd. Wazir
author_sort Azhari Zakri, Azriyenni
title Performance neuro-fuzzy for power system fault location
title_short Performance neuro-fuzzy for power system fault location
title_full Performance neuro-fuzzy for power system fault location
title_fullStr Performance neuro-fuzzy for power system fault location
title_full_unstemmed Performance neuro-fuzzy for power system fault location
title_sort performance neuro-fuzzy for power system fault location
publishDate 2013
url http://eprints.utm.my/id/eprint/40986/
_version_ 1643650613772288000
score 13.211869

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