FACTS device installation in transmission system using whale optimization algorithm

As the world is progressing forward, the load demand in the power system has been continuously increasing day by day. This situation has forced the power system to operate under stress condition due to its limitation. Therefore, due to the stressed condition, the transmission losses faced higher inc...

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Main Authors: Shahbudin, I.S., Musirin, I., Suliman, S.I., Harun, A.F., Mustaffa, S.A.S., Suyono, H., Ghani, N.A.M.
Format: Article
Language:English
Published: 2020
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spelling my.uniten.dspace-131192020-07-06T08:27:55Z FACTS device installation in transmission system using whale optimization algorithm Shahbudin, I.S. Musirin, I. Suliman, S.I. Harun, A.F. Mustaffa, S.A.S. Suyono, H. Ghani, N.A.M. As the world is progressing forward, the load demand in the power system has been continuously increasing day by day. This situation has forced the power system to operate under stress condition due to its limitation. Therefore, due to the stressed condition, the transmission losses faced higher increment with a lower minimum voltage. Theoretically, the installation of the Flexible AC Transmission System (FACTS) device can solve the problem experienced by the power system. This paper presents the Whale Optimization Algorithm for loss minimization using FACTS devices in the transmission system. Thyristor controlled series compensator (TCSC) is chosen for this study. In this study, WOA is developed to identify the optimal sizing of FACTS device for loss minimization in the power system. IEEE 30-bus RTS was used as the test system to validate the effectiveness of the proposed algorithm. © 2019 Institute of Advanced Engineering and Science. 2020-02-03T03:30:30Z 2020-02-03T03:30:30Z 2019 Article 10.11591/eei.v8i1.1442 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 As the world is progressing forward, the load demand in the power system has been continuously increasing day by day. This situation has forced the power system to operate under stress condition due to its limitation. Therefore, due to the stressed condition, the transmission losses faced higher increment with a lower minimum voltage. Theoretically, the installation of the Flexible AC Transmission System (FACTS) device can solve the problem experienced by the power system. This paper presents the Whale Optimization Algorithm for loss minimization using FACTS devices in the transmission system. Thyristor controlled series compensator (TCSC) is chosen for this study. In this study, WOA is developed to identify the optimal sizing of FACTS device for loss minimization in the power system. IEEE 30-bus RTS was used as the test system to validate the effectiveness of the proposed algorithm. © 2019 Institute of Advanced Engineering and Science.
format Article
author Shahbudin, I.S.
Musirin, I.
Suliman, S.I.
Harun, A.F.
Mustaffa, S.A.S.
Suyono, H.
Ghani, N.A.M.
spellingShingle Shahbudin, I.S.
Musirin, I.
Suliman, S.I.
Harun, A.F.
Mustaffa, S.A.S.
Suyono, H.
Ghani, N.A.M.
FACTS device installation in transmission system using whale optimization algorithm
author_facet Shahbudin, I.S.
Musirin, I.
Suliman, S.I.
Harun, A.F.
Mustaffa, S.A.S.
Suyono, H.
Ghani, N.A.M.
author_sort Shahbudin, I.S.
title FACTS device installation in transmission system using whale optimization algorithm
title_short FACTS device installation in transmission system using whale optimization algorithm
title_full FACTS device installation in transmission system using whale optimization algorithm
title_fullStr FACTS device installation in transmission system using whale optimization algorithm
title_full_unstemmed FACTS device installation in transmission system using whale optimization algorithm
title_sort facts device installation in transmission system using whale optimization algorithm
publishDate 2020
_version_ 1672614207754862592
score 13.222552