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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Institute of Advanced Engineering and Science
2023
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my.uniten.dspace-247532023-05-29T15:26:41Z 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. 57208597711 8620004100 14034477200 23396495500 57189288788 6701364976 57215593148 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. Final 2023-05-29T07:26:41Z 2023-05-29T07:26:41Z 2019 Article 10.11591/eei.v8i1.1442 2-s2.0-85065237748 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065237748&doi=10.11591%2feei.v8i1.1442&partnerID=40&md5=e67c9c00994dc7587c1df3d463eb2f8d https://irepository.uniten.edu.my/handle/123456789/24753 8 1 30 38 All Open Access, Bronze, Green Institute of Advanced Engineering and Science Scopus |
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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. |
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57208597711 |
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57208597711 Shahbudin I.S. Musirin I. Suliman S.I. Harun A.F. Mustaffa S.A.S. Suyono H. Ghani N.A.M. |
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Shahbudin I.S. Musirin I. Suliman S.I. Harun A.F. Mustaffa S.A.S. Suyono H. Ghani N.A.M. |
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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_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 |
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Institute of Advanced Engineering and Science |
publishDate |
2023 |
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1806425895515193344 |
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