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Transient security assessment for power system stability: a review on artificial intelligence approach

The growth of large interconnected electricity networks requires a high degree of security for normal operation. This paper attempts to overview several available techniques for assessing the Transient Security Assessment (TSA) of a power system. Different algorithms are explained in details (Static...

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Main Authors: Al-Masri, Ahmed Naufal A., Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Jasni, Jasronita, Mariun, Norman
Format: Conference or Workshop Item
Language:English
Published: IEEE 2009
Online Access:http://psasir.upm.edu.my/id/eprint/47756/1/Transient%20security%20assessment%20for%20power%20system%20stability%20a%20review%20on%20artificial%20intelligence%20approach.pdf
http://psasir.upm.edu.my/id/eprint/47756/
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spelling my.upm.eprints.477562016-07-14T09:41:35Z http://psasir.upm.edu.my/id/eprint/47756/ Transient security assessment for power system stability: a review on artificial intelligence approach Al-Masri, Ahmed Naufal A. Ab Kadir, Mohd Zainal Abidin Hizam, Hashim Jasni, Jasronita Mariun, Norman The growth of large interconnected electricity networks requires a high degree of security for normal operation. This paper attempts to overview several available techniques for assessing the Transient Security Assessment (TSA) of a power system. Different algorithms are explained in details (Static and Dynamic Security Assessment) with the uses of Artificial Intelligent (AI) method. Transient effects can be roughly described as undesired voltage/ current that may result a contingencies in the power system. However, it is only considered lightning and switching as the main causes of TSA. In this proposed method, Artificial Neural Network (ANN) and Fuzzy techniques are able to use in term of classification, prediction and to determine the system security status. Time domain analysis is performed for each credible contingency using signal processing method; than an AI model is proposed for the TSA analysis. The novelty of the proposed approach is that the fast ability to detect and classify any disturbance (lightning (or) switching) in the electric power system using AI techniques. IEEE 2009 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47756/1/Transient%20security%20assessment%20for%20power%20system%20stability%20a%20review%20on%20artificial%20intelligence%20approach.pdf Al-Masri, Ahmed Naufal A. and Ab Kadir, Mohd Zainal Abidin and Hizam, Hashim and Jasni, Jasronita and Mariun, Norman (2009) Transient security assessment for power system stability: a review on artificial intelligence approach. In: 2009 IEEE Student Conference on Research and Development (SCOReD 2009), 16-18 Nov. 2009, UPM, Serdang, Selangor. (pp. 371-375). 10.1109/SCORED.2009.5442996
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 The growth of large interconnected electricity networks requires a high degree of security for normal operation. This paper attempts to overview several available techniques for assessing the Transient Security Assessment (TSA) of a power system. Different algorithms are explained in details (Static and Dynamic Security Assessment) with the uses of Artificial Intelligent (AI) method. Transient effects can be roughly described as undesired voltage/ current that may result a contingencies in the power system. However, it is only considered lightning and switching as the main causes of TSA. In this proposed method, Artificial Neural Network (ANN) and Fuzzy techniques are able to use in term of classification, prediction and to determine the system security status. Time domain analysis is performed for each credible contingency using signal processing method; than an AI model is proposed for the TSA analysis. The novelty of the proposed approach is that the fast ability to detect and classify any disturbance (lightning (or) switching) in the electric power system using AI techniques.
format Conference or Workshop Item
author Al-Masri, Ahmed Naufal A.
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Jasni, Jasronita
Mariun, Norman
spellingShingle Al-Masri, Ahmed Naufal A.
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Jasni, Jasronita
Mariun, Norman
Transient security assessment for power system stability: a review on artificial intelligence approach
author_facet Al-Masri, Ahmed Naufal A.
Ab Kadir, Mohd Zainal Abidin
Hizam, Hashim
Jasni, Jasronita
Mariun, Norman
author_sort Al-Masri, Ahmed Naufal A.
title Transient security assessment for power system stability: a review on artificial intelligence approach
title_short Transient security assessment for power system stability: a review on artificial intelligence approach
title_full Transient security assessment for power system stability: a review on artificial intelligence approach
title_fullStr Transient security assessment for power system stability: a review on artificial intelligence approach
title_full_unstemmed Transient security assessment for power system stability: a review on artificial intelligence approach
title_sort transient security assessment for power system stability: a review on artificial intelligence approach
publisher IEEE
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/47756/1/Transient%20security%20assessment%20for%20power%20system%20stability%20a%20review%20on%20artificial%20intelligence%20approach.pdf
http://psasir.upm.edu.my/id/eprint/47756/
_version_ 1643833973448638464
score 13.211869

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