Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances

The nonlinearity of solar irradiation and temperature leads to unstable photovoltaic (PV) outputs and decrease in efficiency. A method based on experimental study is developed to maximize the output of the PV panels using the combination of PV cooling system and fuzzy logic, fuzzy logic (FL)-based c...

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Main Authors:	Nurul Afiqah, Zainal, A. R., Yusoff, Ajisman, Apen
Format:	Article
Language:	English
Published:	Elsevier Ltd 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/23305/ http://umpir.ump.edu.my/id/eprint/23305/ http://umpir.ump.edu.my/id/eprint/23305/7/Integrated%20cooling%20systems%20and%20maximum%20power%20point.pdf

id	ump-23305
recordtype	eprints
spelling	ump-233052019-01-11T02:39:50Z http://umpir.ump.edu.my/id/eprint/23305/ Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances Nurul Afiqah, Zainal A. R., Yusoff Ajisman, Apen TK Electrical engineering. Electronics Nuclear engineering The nonlinearity of solar irradiation and temperature leads to unstable photovoltaic (PV) outputs and decrease in efficiency. A method based on experimental study is developed to maximize the output of the PV panels using the combination of PV cooling system and fuzzy logic, fuzzy logic (FL)-based constant voltage (CV) maximum power point tracking (MPPT) algorithm. The PV cooling system reduces the PV panel temperature to the optimum temperature, while the FL-based CV MPPT algorithm tracks the maximum power of the PV panel. Experimental results showed that the combination of the two methods in a PV system results in improving the photovoltaic performances. Thus, the PV panel outputs increase when the PV panel works at its optimum temperature. This integrated FL-based CV MPPT controller proves the effectiveness in improving PV performances for any weather condition. Elsevier Ltd 2019 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23305/7/Integrated%20cooling%20systems%20and%20maximum%20power%20point.pdf Nurul Afiqah, Zainal and A. R., Yusoff and Ajisman, Apen (2019) Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances. Measurement, 131. pp. 100-108. ISSN 0263-2241 https://doi.org/10.1016/j.measurement.2018.08.056
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Nurul Afiqah, Zainal A. R., Yusoff Ajisman, Apen Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances
description	The nonlinearity of solar irradiation and temperature leads to unstable photovoltaic (PV) outputs and decrease in efficiency. A method based on experimental study is developed to maximize the output of the PV panels using the combination of PV cooling system and fuzzy logic, fuzzy logic (FL)-based constant voltage (CV) maximum power point tracking (MPPT) algorithm. The PV cooling system reduces the PV panel temperature to the optimum temperature, while the FL-based CV MPPT algorithm tracks the maximum power of the PV panel. Experimental results showed that the combination of the two methods in a PV system results in improving the photovoltaic performances. Thus, the PV panel outputs increase when the PV panel works at its optimum temperature. This integrated FL-based CV MPPT controller proves the effectiveness in improving PV performances for any weather condition.
format	Article
author	Nurul Afiqah, Zainal A. R., Yusoff Ajisman, Apen
author_facet	Nurul Afiqah, Zainal A. R., Yusoff Ajisman, Apen
author_sort	Nurul Afiqah, Zainal
title	Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances
title_short	Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances
title_full	Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances
title_fullStr	Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances
title_full_unstemmed	Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances
title_sort	integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances
publisher	Elsevier Ltd
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/23305/ http://umpir.ump.edu.my/id/eprint/23305/ http://umpir.ump.edu.my/id/eprint/23305/7/Integrated%20cooling%20systems%20and%20maximum%20power%20point.pdf
first_indexed	2023-09-18T22:34:50Z
last_indexed	2023-09-18T22:34:50Z
_version_	1777416525696729088

Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances

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