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TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques

Minimizing power loss in transmission systems is crucial for achieving energy efficiency, lowering temperature rise and less monetary losses leading to sustainable power system network. Flexible AC Transmission Systems (FACTs) has been vastly adopted in minimizing the power loss in power transmissio...

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Main Authors:	Balasubramaniam N., Musirin I., Kamari N.A.M., Ibrahim A.A.
Other Authors:	56695412900
Format:	Conference paper
Published:	Springer Science and Business Media Deutschland GmbH 2025
Subjects:	DC power transmission Flexible AC transmission systems Artificial Immune System Evolutionary programming Flexible AC transmission Flexible AC transmission system Losses minimizations Power Static compensator Thyristor controled static compensator Transmission systems Thyristors
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id	my.uniten.dspace-36902
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spelling	my.uniten.dspace-369022025-03-03T15:45:38Z TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques Balasubramaniam N. Musirin I. Kamari N.A.M. Ibrahim A.A. 56695412900 8620004100 36680312000 7202978991 DC power transmission Flexible AC transmission systems Artificial Immune System Evolutionary programming Flexible AC transmission Flexible AC transmission system Losses minimizations Power Static compensator Thyristor controled static compensator Transmission systems Thyristors Minimizing power loss in transmission systems is crucial for achieving energy efficiency, lowering temperature rise and less monetary losses leading to sustainable power system network. Flexible AC Transmission Systems (FACTs) has been vastly adopted in minimizing the power loss in power transmission systems. However, the effectiveness of FACTs devices in achieving these benefits relies heavily on their optimal placement and sizing within the transmission system. Suboptimal solutions on FACTs devices location and sizing results to under-compensation or over-compensation, both of which are undesirable outcomes. Therefore, robust optimization techniques are necessary to attain optimal solutions. This study applies evolutionary programming (EP) and artificial immune system (AIS) as the computational intelligence techniques to examine the effects of thyristor controlled static compensators (TCSC) for loss minimization in power system. This study shows that the installation of TCSC substantially minimizes the power system loss. The IEEE 30-Bus Reliability Test System (RTS) is used to validate the proposed application and compensation scheme. The application of evolutionary programming and artificial immune system techniques provides valuable insights and solutions to power loss reduction ultimately improving the performance of transmission power systems. It was discovered that both techniques are comparable in minimizing the transmission loss in the system. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Final 2025-03-03T07:45:37Z 2025-03-03T07:45:37Z 2024 Conference paper 10.1007/978-981-97-3851-9_27 2-s2.0-85205104383 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205104383&doi=10.1007%2f978-981-97-3851-9_27&partnerID=40&md5=646304c1f284553cbd03f951028ac348 https://irepository.uniten.edu.my/handle/123456789/36902 1213 LNEE 301 315 Springer Science and Business Media Deutschland GmbH Scopus
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/
topic	DC power transmission Flexible AC transmission systems Artificial Immune System Evolutionary programming Flexible AC transmission Flexible AC transmission system Losses minimizations Power Static compensator Thyristor controled static compensator Transmission systems Thyristors
spellingShingle	DC power transmission Flexible AC transmission systems Artificial Immune System Evolutionary programming Flexible AC transmission Flexible AC transmission system Losses minimizations Power Static compensator Thyristor controled static compensator Transmission systems Thyristors Balasubramaniam N. Musirin I. Kamari N.A.M. Ibrahim A.A. TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques
description	Minimizing power loss in transmission systems is crucial for achieving energy efficiency, lowering temperature rise and less monetary losses leading to sustainable power system network. Flexible AC Transmission Systems (FACTs) has been vastly adopted in minimizing the power loss in power transmission systems. However, the effectiveness of FACTs devices in achieving these benefits relies heavily on their optimal placement and sizing within the transmission system. Suboptimal solutions on FACTs devices location and sizing results to under-compensation or over-compensation, both of which are undesirable outcomes. Therefore, robust optimization techniques are necessary to attain optimal solutions. This study applies evolutionary programming (EP) and artificial immune system (AIS) as the computational intelligence techniques to examine the effects of thyristor controlled static compensators (TCSC) for loss minimization in power system. This study shows that the installation of TCSC substantially minimizes the power system loss. The IEEE 30-Bus Reliability Test System (RTS) is used to validate the proposed application and compensation scheme. The application of evolutionary programming and artificial immune system techniques provides valuable insights and solutions to power loss reduction ultimately improving the performance of transmission power systems. It was discovered that both techniques are comparable in minimizing the transmission loss in the system. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
author2	56695412900
author_facet	56695412900 Balasubramaniam N. Musirin I. Kamari N.A.M. Ibrahim A.A.
format	Conference paper
author	Balasubramaniam N. Musirin I. Kamari N.A.M. Ibrahim A.A.
author_sort	Balasubramaniam N.
title	TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques
title_short	TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques
title_full	TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques
title_fullStr	TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques
title_full_unstemmed	TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques
title_sort	tcsc optimization for loss minimization in power system using computational intelligence techniques
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2025
_version_	1825816035537715200
score	13.244109

TCSC Optimization for Loss Minimization in Power System Using Computational Intelligence Techniques

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