PV maximum power point tracking based simplified fuzzy logic

The thesis focus is to develop Maximum Power Point Tracking (MPPT) algorithm that based on the Simplified Fuzzy Logic Controller (SFLC). It is known that the output of the PV panel is always fluctuates due to the changes in the irradiation of the sunlight and surrounding temperature. This inconsiste...

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Main Author:	Goh, Perry Paisley Hua Seng
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/37991/1/PerryPaisleyGohHuaSengMFKE2013.pdf
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id	my-utm-ep.37991
record_format	uketd_dc
spelling	my-utm-ep.379912018-04-12T05:40:20Z PV maximum power point tracking based simplified fuzzy logic 2013-01 Goh, Perry Paisley Hua Seng TK Electrical engineering. Electronics Nuclear engineering The thesis focus is to develop Maximum Power Point Tracking (MPPT) algorithm that based on the Simplified Fuzzy Logic Controller (SFLC). It is known that the output of the PV panel is always fluctuates due to the changes in the irradiation of the sunlight and surrounding temperature. This inconsistency of the output voltage is no good to the load. To compensate the problem, a power converter is used to reduce the fluctuation. However, the efficiency of the power converter is much depends on the maximum power point tracked of the solar panel. Therefore, there is a need for a MPPT algorithm to be implemented in the power converter. In this thesis, Simplified Fuzzy Logic Controller (SFLC) is employed. The proposed of Simplified Fuzzy logic Controller (SFLC) has several advantages as compared to the conventional Fuzzy Logic Controller (CFLC), such as less number of rules and tuning parameters. To verify, full system model is developed in MATLAB-Simulink software and simulated. From the results, it was shown that the features of the proposed Simplified Fuzzy Logic Controller (SFLC) are justified. 2013-01 Thesis http://eprints.utm.my/id/eprint/37991/ http://eprints.utm.my/id/eprint/37991/1/PerryPaisleyGohHuaSengMFKE2013.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 Goh, Perry Paisley Hua Seng PV maximum power point tracking based simplified fuzzy logic
description	The thesis focus is to develop Maximum Power Point Tracking (MPPT) algorithm that based on the Simplified Fuzzy Logic Controller (SFLC). It is known that the output of the PV panel is always fluctuates due to the changes in the irradiation of the sunlight and surrounding temperature. This inconsistency of the output voltage is no good to the load. To compensate the problem, a power converter is used to reduce the fluctuation. However, the efficiency of the power converter is much depends on the maximum power point tracked of the solar panel. Therefore, there is a need for a MPPT algorithm to be implemented in the power converter. In this thesis, Simplified Fuzzy Logic Controller (SFLC) is employed. The proposed of Simplified Fuzzy logic Controller (SFLC) has several advantages as compared to the conventional Fuzzy Logic Controller (CFLC), such as less number of rules and tuning parameters. To verify, full system model is developed in MATLAB-Simulink software and simulated. From the results, it was shown that the features of the proposed Simplified Fuzzy Logic Controller (SFLC) are justified.
format	Thesis
qualification_level	Master's degree
author	Goh, Perry Paisley Hua Seng
author_facet	Goh, Perry Paisley Hua Seng
author_sort	Goh, Perry Paisley Hua Seng
title	PV maximum power point tracking based simplified fuzzy logic
title_short	PV maximum power point tracking based simplified fuzzy logic
title_full	PV maximum power point tracking based simplified fuzzy logic
title_fullStr	PV maximum power point tracking based simplified fuzzy logic
title_full_unstemmed	PV maximum power point tracking based simplified fuzzy logic
title_sort	pv maximum power point tracking based simplified fuzzy logic
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/37991/1/PerryPaisleyGohHuaSengMFKE2013.pdf
_version_	1747816518919389184

PV maximum power point tracking based simplified fuzzy logic

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