Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids

The mission of the power system operator has become more complicated than before due to increasing load demand, which causes power systems to operate near their security limits. The deregulation of electricity markets, which requires independent system operation driven by economic considerations, is...

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Main Authors:	Al-Masri, A.N., Ab Kadir, M.Z.A., Al-Ogaili, A.S., Hoon, Y.
Format:	Article
Language:	English
Published:	2020
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Institution:	Universiti Tenaga Nasional
Language:	English

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spelling	my.uniten.dspace-133432020-07-03T04:13:27Z Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids Al-Masri, A.N. Ab Kadir, M.Z.A. Al-Ogaili, A.S. Hoon, Y. The mission of the power system operator has become more complicated than before due to increasing load demand, which causes power systems to operate near their security limits. The deregulation of electricity markets, which requires independent system operation driven by economic considerations, is still an essential requirement of modern power systems. This study presents an enhanced model of developed adaptive artificial neural network (AANN) technique for security enhancement of Malaysian power grids, inclusive of a remedial action (generation redispatch/load shedding) at any scale of system operation. Automatic data knowledge generation systems for AANN inputs and data selection and extraction methods are developed. Results show that the proposed AANN can provide the required amount of generation redispatch and load shedding accurately and promptly for computing large sample data. © 2013 IEEE. 2020-02-03T03:31:57Z 2020-02-03T03:31:57Z 2019 Article 10.1109/ACCESS.2019.2957884 en
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
language	English
description	The mission of the power system operator has become more complicated than before due to increasing load demand, which causes power systems to operate near their security limits. The deregulation of electricity markets, which requires independent system operation driven by economic considerations, is still an essential requirement of modern power systems. This study presents an enhanced model of developed adaptive artificial neural network (AANN) technique for security enhancement of Malaysian power grids, inclusive of a remedial action (generation redispatch/load shedding) at any scale of system operation. Automatic data knowledge generation systems for AANN inputs and data selection and extraction methods are developed. Results show that the proposed AANN can provide the required amount of generation redispatch and load shedding accurately and promptly for computing large sample data. © 2013 IEEE.
format	Article
author	Al-Masri, A.N. Ab Kadir, M.Z.A. Al-Ogaili, A.S. Hoon, Y.
spellingShingle	Al-Masri, A.N. Ab Kadir, M.Z.A. Al-Ogaili, A.S. Hoon, Y. Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids
author_facet	Al-Masri, A.N. Ab Kadir, M.Z.A. Al-Ogaili, A.S. Hoon, Y.
author_sort	Al-Masri, A.N.
title	Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids
title_short	Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids
title_full	Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids
title_fullStr	Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids
title_full_unstemmed	Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids
title_sort	development of adaptive artificial neural network security assessment schema for malaysian power grids
publishDate	2020
_version_	1672614223539077120

Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids

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