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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Main Author: Jafari, Ali
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/32111/5/AliJafariMFKE2012.pdf
http://eprints.utm.my/id/eprint/32111/
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.321112018-05-27T07:42:21Z http://eprints.utm.my/id/eprint/32111/ Fuzzy logic wind control strategy for wind power generation system 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/32111/5/AliJafariMFKE2012.pdf Jafari, Ali (2012) Fuzzy logic wind control strategy for wind power generation system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2012
url http://eprints.utm.my/id/eprint/32111/5/AliJafariMFKE2012.pdf
http://eprints.utm.my/id/eprint/32111/
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