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An improved method in transient stability assessment of a power system using probabilistic neural network

This paper presents transient stability assessment of electrical power system using probabilistic neural network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs...

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Main Authors: Abdul Wahab, Noor Izzri, Mohamed, Azah, Hussain, Aini
Format: Article
Language:English
Published: INSInet Publication 2007
Online Access:http://psasir.upm.edu.my/id/eprint/13040/1/An%20improved%20method%20in%20transient%20stability%20assessment%20of%20a%20power%20system%20using%20probabilistic%20neural%20network.pdf
http://psasir.upm.edu.my/id/eprint/13040/
http://www.aensiweb.com/old/jasr/jasr_november_2007.html
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spelling my.upm.eprints.130402016-01-26T01:39:12Z http://psasir.upm.edu.my/id/eprint/13040/ An improved method in transient stability assessment of a power system using probabilistic neural network Abdul Wahab, Noor Izzri Mohamed, Azah Hussain, Aini This paper presents transient stability assessment of electrical power system using probabilistic neural network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system considering three phase faults on the system. The data collected from the time domain simulations are then used as inputs to the PNN in which PNN is used as a classifier to determine whether the power system is stable or unstable. To verify the effectiveness of the proposed PNN method, it is compared with the multi layer perceptron neural network. Results show that the PNN gives faster and more accurate transient stability assessment compared to the multi layer perceptron neural network in terms of classification results. INSInet Publication 2007-11 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/13040/1/An%20improved%20method%20in%20transient%20stability%20assessment%20of%20a%20power%20system%20using%20probabilistic%20neural%20network.pdf Abdul Wahab, Noor Izzri and Mohamed, Azah and Hussain, Aini (2007) An improved method in transient stability assessment of a power system using probabilistic neural network. Journal of Applied Sciences Research, 3 (11). pp. 1267-1274. ISSN 1816-157X; ESSN:1819-544X http://www.aensiweb.com/old/jasr/jasr_november_2007.html
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper presents transient stability assessment of electrical power system using probabilistic neural network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system considering three phase faults on the system. The data collected from the time domain simulations are then used as inputs to the PNN in which PNN is used as a classifier to determine whether the power system is stable or unstable. To verify the effectiveness of the proposed PNN method, it is compared with the multi layer perceptron neural network. Results show that the PNN gives faster and more accurate transient stability assessment compared to the multi layer perceptron neural network in terms of classification results.
format Article
author Abdul Wahab, Noor Izzri
Mohamed, Azah
Hussain, Aini
spellingShingle Abdul Wahab, Noor Izzri
Mohamed, Azah
Hussain, Aini
An improved method in transient stability assessment of a power system using probabilistic neural network
author_facet Abdul Wahab, Noor Izzri
Mohamed, Azah
Hussain, Aini
author_sort Abdul Wahab, Noor Izzri
title An improved method in transient stability assessment of a power system using probabilistic neural network
title_short An improved method in transient stability assessment of a power system using probabilistic neural network
title_full An improved method in transient stability assessment of a power system using probabilistic neural network
title_fullStr An improved method in transient stability assessment of a power system using probabilistic neural network
title_full_unstemmed An improved method in transient stability assessment of a power system using probabilistic neural network
title_sort improved method in transient stability assessment of a power system using probabilistic neural network
publisher INSInet Publication
publishDate 2007
url http://psasir.upm.edu.my/id/eprint/13040/1/An%20improved%20method%20in%20transient%20stability%20assessment%20of%20a%20power%20system%20using%20probabilistic%20neural%20network.pdf
http://psasir.upm.edu.my/id/eprint/13040/
http://www.aensiweb.com/old/jasr/jasr_november_2007.html
_version_ 1643825211224621056
score 13.211869

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