Fuzzy logic wind control strategy for wind power generation system

Deregulation of electric utilities has led to consideration of new distributed resources such as wind turbines. The new resources dynamics have to be studied carefully to avoid unpredictable outputs and unknown interferences as well as to make sure that consistent and efficient power is supplied acc...

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Bibliographic Details
Main Author:	Jafari, Ali
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/32111/5/AliJafariMFKE2012.pdf
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id	my-utm-ep.32111
record_format	uketd_dc
spelling	my-utm-ep.321112018-05-27T07:42:21Z Fuzzy logic wind control strategy for wind power generation system 2012-01 Jafari, Ali TK Electrical engineering. Electronics Nuclear engineering Deregulation of electric utilities has led to consideration of new distributed resources such as wind turbines. The new resources dynamics have to be studied carefully to avoid unpredictable outputs and unknown interferences as well as to make sure that consistent and efficient power is supplied according to the load requirements. The objective of this work is to make a contribution to the ongoing wind turbine research in the areas of modeling, control and implementation of wind turbines as renewable source in electric power systems. A model of complete open-loop wind turbine was developed, and it was used as a basis for the design of a controller for the wind turbine. The wind turbine transfer function was derived and its performance was studied using the MATLAB Program. After simulation the wind turbine model two controller were implemented on the system to control the power output of the wind turbine. A PI controller and a Fuzzy Logic controller. The performances of two controller were compared and the result was shown the advantages of using Fuzzy logic controller for the wind turbine. The ability of Fuzzy logic controllers for facing with nonlinearity make them a powerfull tool for controlling such systems. 2012-01 Thesis http://eprints.utm.my/id/eprint/32111/ http://eprints.utm.my/id/eprint/32111/5/AliJafariMFKE2012.pdf application/pdf en public 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 Jafari, Ali Fuzzy logic wind control strategy for wind power generation system
description	Deregulation of electric utilities has led to consideration of new distributed resources such as wind turbines. The new resources dynamics have to be studied carefully to avoid unpredictable outputs and unknown interferences as well as to make sure that consistent and efficient power is supplied according to the load requirements. The objective of this work is to make a contribution to the ongoing wind turbine research in the areas of modeling, control and implementation of wind turbines as renewable source in electric power systems. A model of complete open-loop wind turbine was developed, and it was used as a basis for the design of a controller for the wind turbine. The wind turbine transfer function was derived and its performance was studied using the MATLAB Program. After simulation the wind turbine model two controller were implemented on the system to control the power output of the wind turbine. A PI controller and a Fuzzy Logic controller. The performances of two controller were compared and the result was shown the advantages of using Fuzzy logic controller for the wind turbine. The ability of Fuzzy logic controllers for facing with nonlinearity make them a powerfull tool for controlling such systems.
format	Thesis
qualification_level	Master's degree
author	Jafari, Ali
author_facet	Jafari, Ali
author_sort	Jafari, Ali
title	Fuzzy logic wind control strategy for wind power generation system
title_short	Fuzzy logic wind control strategy for wind power generation system
title_full	Fuzzy logic wind control strategy for wind power generation system
title_fullStr	Fuzzy logic wind control strategy for wind power generation system
title_full_unstemmed	Fuzzy logic wind control strategy for wind power generation system
title_sort	fuzzy logic wind control strategy for wind power generation system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/32111/5/AliJafariMFKE2012.pdf
_version_	1747815924046495744

Fuzzy logic wind control strategy for wind power generation system

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