A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment

A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment

This paper addresses a new approach for predicting the generator rotor angle using an adaptive artificial neural network (AANN) for power system stability. The aim of this work is to predict the stability status for each generator when the system is under a contingency. This is based on the initial...

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Main Authors: Al-Masri, Ahmed Naufal A., Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Mariun, Norman
Format: Article
Language:English
Published: IEEE 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28635/1/0000.pdf
http://psasir.upm.edu.my/id/eprint/28635/
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Institution: Universiti Putra Malaysia
Language: English
id my.upm.eprints.28635
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spelling my.upm.eprints.286352016-06-06T07:22:05Z http://psasir.upm.edu.my/id/eprint/28635/ A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment Al-Masri, Ahmed Naufal A. Ab Kadir, Mohd Zainal Abidin Hizam, Hashim Mariun, Norman This paper addresses a new approach for predicting the generator rotor angle using an adaptive artificial neural network (AANN) for power system stability. The aim of this work is to predict the stability status for each generator when the system is under a contingency. This is based on the initial condition of an operating point, which is represented by the generator rotor angle at a certain load level. An automatic data generation algorithm is developed for the training and testing process. The proposed method has been successfully tested on the IEEE 9-bus test system and the 87-bus system for Peninsular Malaysia. IEEE 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28635/1/0000.pdf Al-Masri, Ahmed Naufal A. and Ab Kadir, Mohd Zainal Abidin and Hizam, Hashim and Mariun, Norman (2013) A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment. IEEE Transactions on Power Systems, 28 (3). pp. 2516-2525. ISSN 0885-8950 10.1109/TPWRS.2013.2247069
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 addresses a new approach for predicting the generator rotor angle using an adaptive artificial neural network (AANN) for power system stability. The aim of this work is to predict the stability status for each generator when the system is under a contingency. This is based on the initial condition of an operating point, which is represented by the generator rotor angle at a certain load level. An automatic data generation algorithm is developed for the training and testing process. The proposed method has been successfully tested on the IEEE 9-bus test system and the 87-bus system for Peninsular Malaysia.
format Article
author Al-Masri, Ahmed Naufal A.
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Mariun, Norman
spellingShingle Al-Masri, Ahmed Naufal A.
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Mariun, Norman
A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment
author_facet Al-Masri, Ahmed Naufal A.
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Mariun, Norman
author_sort Al-Masri, Ahmed Naufal A.
title A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment
title_short A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment
title_full A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment
title_fullStr A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment
title_full_unstemmed A novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment
title_sort novel implementation for generator rotor angle stability prediction using an adaptive artificial neural network application for dynamic security assessment
publisher IEEE
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/28635/1/0000.pdf
http://psasir.upm.edu.my/id/eprint/28635/
_version_ 1643829523676921856

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