Optimal design of passive power filters using genetic algorithm

Recent advances in the field of power electronic technology and growing and wide-spread uses of nonlinear loads are responsible for the generation of the harmonics in the power system; this significantly degrades the power quality. One of the most common methods to reduce harmonic distortion is to u...

Full description

Saved in:

Bibliographic Details
Main Author:	Muhammd, Faiz
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/53915/1/FaizMuhammdMFKE2015.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.53915
record_format	uketd_dc
spelling	my-utm-ep.539152020-10-08T03:19:28Z Optimal design of passive power filters using genetic algorithm 2015-06 Muhammd, Faiz TK Electrical engineering. Electronics Nuclear engineering Recent advances in the field of power electronic technology and growing and wide-spread uses of nonlinear loads are responsible for the generation of the harmonics in the power system; this significantly degrades the power quality. One of the most common methods to reduce harmonic distortion is to use the passive filters. The objective of this research is to develop a system with three-phase uncontrolled rectifier for harmonic analysis and to design an optimal harmonic passive filter. Since the applications of “artificial intelligence” has been increased to find the practical solutions for the recent developments in engineering and technology. Therefore, it has been decided to apply genetic algorithm for the optimization of passive filter design. In order to fulfil the objectives, optimum passive power filters are designed using MATLAB software. The optimal filter improves the system performance by reducing the harmonic distortion which complies with the standard limits. 2015-06 Thesis http://eprints.utm.my/id/eprint/53915/ http://eprints.utm.my/id/eprint/53915/1/FaizMuhammdMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85628 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Muhammd, Faiz Optimal design of passive power filters using genetic algorithm
description	Recent advances in the field of power electronic technology and growing and wide-spread uses of nonlinear loads are responsible for the generation of the harmonics in the power system; this significantly degrades the power quality. One of the most common methods to reduce harmonic distortion is to use the passive filters. The objective of this research is to develop a system with three-phase uncontrolled rectifier for harmonic analysis and to design an optimal harmonic passive filter. Since the applications of “artificial intelligence” has been increased to find the practical solutions for the recent developments in engineering and technology. Therefore, it has been decided to apply genetic algorithm for the optimization of passive filter design. In order to fulfil the objectives, optimum passive power filters are designed using MATLAB software. The optimal filter improves the system performance by reducing the harmonic distortion which complies with the standard limits.
format	Thesis
qualification_level	Master's degree
author	Muhammd, Faiz
author_facet	Muhammd, Faiz
author_sort	Muhammd, Faiz
title	Optimal design of passive power filters using genetic algorithm
title_short	Optimal design of passive power filters using genetic algorithm
title_full	Optimal design of passive power filters using genetic algorithm
title_fullStr	Optimal design of passive power filters using genetic algorithm
title_full_unstemmed	Optimal design of passive power filters using genetic algorithm
title_sort	optimal design of passive power filters using genetic algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/53915/1/FaizMuhammdMFKE2015.pdf
_version_	1747817656675729408

Optimal design of passive power filters using genetic algorithm

Similar Items