Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control
Photovoltaic (PV) systems has received great attention in research for generating renewable energy due to its advantages over fossil based energy in terms of sustainability, environmental friendliness and price stability. However, the widespread use of PV meets several challenges such as increasi...
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my-uthm-ep.19302021-10-14T05:40:34Z Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control 2013-01 Abdull Kadir, Junaini TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations Photovoltaic (PV) systems has received great attention in research for generating renewable energy due to its advantages over fossil based energy in terms of sustainability, environmental friendliness and price stability. However, the widespread use of PV meets several challenges such as increasing the efficiency of PV conversion. Another drawback of PV system is that it does not provide a constant energy source because its output power changes with temperature and irradiation or insulation. PV modules have unique current versus voltage characteristics. From the I-V characteristics, PV systems must be operated at a maximum power point (MPP) of specific current and voltage values so as to increase the PV efficiency. For any PV system, the output power can be increased by tracking the MPP of the PV module by using a controller connected to a boost converter. An important consideration in increasing the efficiency of PV systems is to operate the system near maximum power point (MPP) so as to obtain the approximately maximum power of PV array. To achieve maximum energy produced by a PV array, maximum power point tracking (MPPT) techniques are used. The position of the MPP is unknown but can be traced by using an MPPT To overcome this problem, Maximum Power Point Tracker DCDC Boost convertor are developed using Fuzzy Logic Control. The Fuzzy Logic Controller and the MPPT it self are being represented and implimented using Mathlab Simulink. 2013-01 Thesis http://eprints.uthm.edu.my/1930/ http://eprints.uthm.edu.my/1930/1/24p%20JUNAINI%20ABDULL%20KADIR.pdf text en public http://eprints.uthm.edu.my/1930/2/JUNAINI%20ABDULL%20KADIR%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/1930/3/JUNAINI%20ABDULL%20KADIR%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik |
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TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering |
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TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering Abdull Kadir, Junaini Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control |
description |
Photovoltaic (PV) systems has received great attention in research for
generating renewable energy due to its advantages over fossil based energy in terms
of sustainability, environmental friendliness and price stability. However, the
widespread use of PV meets several challenges such as increasing the efficiency of
PV conversion. Another drawback of PV system is that it does not provide a constant
energy source because its output power changes with temperature and irradiation or
insulation. PV modules have unique current versus voltage characteristics. From the
I-V characteristics, PV systems must be operated at a maximum power point (MPP)
of specific current and voltage values so as to increase the PV efficiency. For any PV
system, the output power can be increased by tracking the MPP of the PV module by
using a controller connected to a boost converter. An important consideration in
increasing the efficiency of PV systems is to operate the system near maximum power
point (MPP) so as to obtain the approximately maximum power of PV array. To
achieve maximum energy produced by a PV array, maximum power point tracking
(MPPT) techniques are used. The position of the MPP is unknown but can be traced
by using an MPPT To overcome this problem, Maximum Power Point Tracker DCDC
Boost convertor are developed using Fuzzy Logic Control. The Fuzzy Logic
Controller and the MPPT it self are being represented and implimented using
Mathlab Simulink. |
format |
Thesis |
qualification_name |
Master of Philosophy (M.Phil.) |
qualification_level |
Master's degree |
author |
Abdull Kadir, Junaini |
author_facet |
Abdull Kadir, Junaini |
author_sort |
Abdull Kadir, Junaini |
title |
Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control |
title_short |
Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control |
title_full |
Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control |
title_fullStr |
Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control |
title_full_unstemmed |
Development of a boost convertor for photovoltaic system MPPT using fuzzy logic control |
title_sort |
development of a boost convertor for photovoltaic system mppt using fuzzy logic control |
granting_institution |
Universiti Tun Hussein Malaysia |
granting_department |
Fakulti Kejuruteraan Elektrik dan Elektronik |
publishDate |
2013 |
url |
http://eprints.uthm.edu.my/1930/1/24p%20JUNAINI%20ABDULL%20KADIR.pdf http://eprints.uthm.edu.my/1930/2/JUNAINI%20ABDULL%20KADIR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1930/3/JUNAINI%20ABDULL%20KADIR%20WATERMARK.pdf |
_version_ |
1747830884100210688 |