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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
https://ir.uitm.edu.my/id/eprint/84624/
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id my.uitm.ir.84624
record_format eprints
spelling my.uitm.ir.846242024-03-11T03:24:26Z https://ir.uitm.edu.my/id/eprint/84624/ Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84624/1/84624.pdf Particle swarm optimization technique for optimizing load flow analysis / Muhammad Syafiq Mohd Zaman. (2009) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/84624/1/84624.pdf
https://ir.uitm.edu.my/id/eprint/84624/
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score 13.211869

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