Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin

Transmission loss minimization is a significant issue in Power System (PS). The power loss in Power System could be decreased by installing Flexible AC Transmission System (FACTS) devices. This thesis described the application of Particle Swarm Optimization (PSO) for optimal placement and sizing of...

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Main Author: Yasin, Mohd Firdaus
Format: Thesis
Language:English
Published: 2014
Online Access:https://ir.uitm.edu.my/id/eprint/84474/1/84474.PDF
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spelling my-uitm-ir.844742024-04-24T04:07:22Z Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin 2014 Yasin, Mohd Firdaus Transmission loss minimization is a significant issue in Power System (PS). The power loss in Power System could be decreased by installing Flexible AC Transmission System (FACTS) devices. This thesis described the application of Particle Swarm Optimization (PSO) for optimal placement and sizing of Thyristor Controlled Series Capacitor (TCSC) to minimize the power loss in the system. PSO is a naturally computational search and optimization method invented within 1995 by Kennedy and Eberhart which focused on habits involving bird flocking or fish schooling. The objective for this study is to develop a PSO algorithm for loss minimization in power system. The impact of population size and weight coefficient throughout the optimization process is also tested. The technique is tested on IEEE 6 bus system. 2014 Thesis https://ir.uitm.edu.my/id/eprint/84474/ https://ir.uitm.edu.my/id/eprint/84474/1/84474.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Musirin, Ismail
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Musirin, Ismail
description Transmission loss minimization is a significant issue in Power System (PS). The power loss in Power System could be decreased by installing Flexible AC Transmission System (FACTS) devices. This thesis described the application of Particle Swarm Optimization (PSO) for optimal placement and sizing of Thyristor Controlled Series Capacitor (TCSC) to minimize the power loss in the system. PSO is a naturally computational search and optimization method invented within 1995 by Kennedy and Eberhart which focused on habits involving bird flocking or fish schooling. The objective for this study is to develop a PSO algorithm for loss minimization in power system. The impact of population size and weight coefficient throughout the optimization process is also tested. The technique is tested on IEEE 6 bus system.
format Thesis
qualification_level Bachelor degree
author Yasin, Mohd Firdaus
spellingShingle Yasin, Mohd Firdaus
Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin
author_facet Yasin, Mohd Firdaus
author_sort Yasin, Mohd Firdaus
title Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin
title_short Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin
title_full Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin
title_fullStr Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin
title_full_unstemmed Optimal location and sizing of thyristor controlled series capacitor using Particle Swarm Optimization technique / Mohd Firdaus Yasin
title_sort optimal location and sizing of thyristor controlled series capacitor using particle swarm optimization technique / mohd firdaus yasin
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/84474/1/84474.PDF
_version_ 1804889724571090944