Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman

The state of power system and methods of calculating this state are extremely important in evaluating the operation of the power system, the control of this system and the determination of future expansion for the power system. The state of power system is determined through load flow analysis that...

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Main Author:	Mohd Zaman, Muhammad Syafiq
Format:	Thesis
Language:	English
Published:	2009
Online Access:	https://ir.uitm.edu.my/id/eprint/84624/1/84624.pdf
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id	my-uitm-ir.84624
record_format	uketd_dc
spelling	my-uitm-ir.846242024-03-11T03:24:26Z Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman 2009 Mohd Zaman, Muhammad Syafiq The state of power system and methods of calculating this state are extremely important in evaluating the operation of the power system, the control of this system and the determination of future expansion for the power system. The state of power system is determined through load flow analysis that calculates the power flowing in the lines of the power system especially in determining the total losses in the power system. Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search of food, which is simple but powerful, and widely used as a problem solving technique to a variety of complex problems in science and engineering. The PSO technique was proposed to solve on Institute of Electrical & Electronic Engineers (IEEE) 30-bus system. The proposed technique was able to minimize the losses in the power system with results of losses minimization. 2009 Thesis https://ir.uitm.edu.my/id/eprint/84624/ https://ir.uitm.edu.my/id/eprint/84624/1/84624.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mohd Yassin, Ahmad Ihsan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Yassin, Ahmad Ihsan
description	The state of power system and methods of calculating this state are extremely important in evaluating the operation of the power system, the control of this system and the determination of future expansion for the power system. The state of power system is determined through load flow analysis that calculates the power flowing in the lines of the power system especially in determining the total losses in the power system. Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search of food, which is simple but powerful, and widely used as a problem solving technique to a variety of complex problems in science and engineering. The PSO technique was proposed to solve on Institute of Electrical & Electronic Engineers (IEEE) 30-bus system. The proposed technique was able to minimize the losses in the power system with results of losses minimization.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Zaman, Muhammad Syafiq
spellingShingle	Mohd Zaman, Muhammad Syafiq Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman
author_facet	Mohd Zaman, Muhammad Syafiq
author_sort	Mohd Zaman, Muhammad Syafiq
title	Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman
title_short	Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman
title_full	Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman
title_fullStr	Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman
title_full_unstemmed	Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman
title_sort	particle swarm optimization technique for optimizing load flow analysis / muhammad syafiq mohd zaman
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	https://ir.uitm.edu.my/id/eprint/84624/1/84624.pdf
_version_	1794192032616415232

Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman

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