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Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah

This thesis presents new techniques for voltage stability assessment and improvement in power system under multi-contingencies. A line-based voltage stability index termed as Static Voltage Stability Index (SVSI) was used to evaluate the voltage stability condition on a line. The value of SVSI was c...

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Main Author: Abdullah, Nor Rul Hasma
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2012
Subjects:
Malaysia
Online Access:http://ir.uitm.edu.my/id/eprint/19149/1/ABS_NOR%20RUL%20HASMA%20ABDULLAH%20TDRA%20VOL%202%20IGS%2012.pdf
http://ir.uitm.edu.my/id/eprint/19149/
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spelling my.uitm.ir.191492018-06-11T06:26:21Z http://ir.uitm.edu.my/id/eprint/19149/ Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah Abdullah, Nor Rul Hasma Malaysia This thesis presents new techniques for voltage stability assessment and improvement in power system under multi-contingencies. A line-based voltage stability index termed as Static Voltage Stability Index (SVSI) was used to evaluate the voltage stability condition on a line. The value of SVSI was computed to identify the most sensitive line and corresponding weak bus in the system. Institute of Graduate Studies, UiTM 2012 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19149/1/ABS_NOR%20RUL%20HASMA%20ABDULLAH%20TDRA%20VOL%202%20IGS%2012.pdf Abdullah, Nor Rul Hasma (2012) Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 2 (2). Institute of Graduate Studies, UiTM, Shah Alam.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Malaysia
spellingShingle Malaysia
Abdullah, Nor Rul Hasma
Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah
description This thesis presents new techniques for voltage stability assessment and improvement in power system under multi-contingencies. A line-based voltage stability index termed as Static Voltage Stability Index (SVSI) was used to evaluate the voltage stability condition on a line. The value of SVSI was computed to identify the most sensitive line and corresponding weak bus in the system.
format Book Section
author Abdullah, Nor Rul Hasma
author_facet Abdullah, Nor Rul Hasma
author_sort Abdullah, Nor Rul Hasma
title Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah
title_short Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah
title_full Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah
title_fullStr Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah
title_full_unstemmed Computational intelligence based power system security assessment and improvement under multi- contingencies conditions / Nor Rul Hasma Abdullah
title_sort computational intelligence based power system security assessment and improvement under multi- contingencies conditions / nor rul hasma abdullah
publisher Institute of Graduate Studies, UiTM
publishDate 2012
url http://ir.uitm.edu.my/id/eprint/19149/1/ABS_NOR%20RUL%20HASMA%20ABDULLAH%20TDRA%20VOL%202%20IGS%2012.pdf
http://ir.uitm.edu.my/id/eprint/19149/
_version_ 1685649174705471488
score 13.160551

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