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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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. |
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TK Electrical engineering. Electronics Nuclear engineering Jafari, Ali Fuzzy logic wind control strategy for wind power generation system |
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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 |
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2012 |
url |
http://eprints.utm.my/id/eprint/32111/5/AliJafariMFKE2012.pdf http://eprints.utm.my/id/eprint/32111/ |
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