Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller

Interest promotion of solar energy to perform an efficient standalone PV system to replace the used of gas and coal as the main demand in producing electricity. Due to the nonlinearity of solar radiation and temperature, it leads to inconsistency in electricity production from the PV panel. To achie...

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Main Author: Nurul Afiqah, Zainal
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/20460/16/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller.pdf
http://umpir.ump.edu.my/id/eprint/20460/
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spelling my.ump.umpir.204602022-01-07T03:38:37Z http://umpir.ump.edu.my/id/eprint/20460/ Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller Nurul Afiqah, Zainal TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Interest promotion of solar energy to perform an efficient standalone PV system to replace the used of gas and coal as the main demand in producing electricity. Due to the nonlinearity of solar radiation and temperature, it leads to inconsistency in electricity production from the PV panel. To achieve the maximum power point (MPP) of PV panel, fuzzy logic (FL) based constant voltage (CV) algorithm is applied to the system. The aim of this project is to develop an efficient standalone PV system with cooling system. This system is develop in both simulation and experimental. A model of PV panel is designed based PV mathematical modelling by using single cell diode model. The simulation is done to analyze PV panel characteristics especially in variation of temperature and irradiations. These characteristics are used for the inputs in 'developing the Fuzzy Logic (FL) controller. As to control and maintain the temperature of PV panel on its optimum level, a cooling system is developed into the system. The cooling system helps to increase the PV voltage output as well as the power produce. From the simulation, I-V and P-V characteristics of PV panel are obtained. The implementation of cooling system results in 3.09% and 1.96% of Vpv and VOUT percentage change increasing respectively when the PV temperature drop down to 17.71 % averagely. This clearly shows the Vpv produce depends on the PV temperature. By implementing FL based CV algorithm into this method, it makes the system more robust and reliable in terms of effectiveness and efficiency. In conclusion, a standalone PV system is successfully designed and analyzed in both simulation and experimental set up to determine the PV panel characteristics and increase the system performances. By implementing the cooling system for PV panel as well as using FL controller in tracking PV MPP enhanced the performances of PV system and reduces the problems that affect the power generation from PV panel. 2017-02 Thesis NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20460/16/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller.pdf Nurul Afiqah, Zainal (2017) Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller. Masters thesis, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Nurul Afiqah, Zainal
Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
description Interest promotion of solar energy to perform an efficient standalone PV system to replace the used of gas and coal as the main demand in producing electricity. Due to the nonlinearity of solar radiation and temperature, it leads to inconsistency in electricity production from the PV panel. To achieve the maximum power point (MPP) of PV panel, fuzzy logic (FL) based constant voltage (CV) algorithm is applied to the system. The aim of this project is to develop an efficient standalone PV system with cooling system. This system is develop in both simulation and experimental. A model of PV panel is designed based PV mathematical modelling by using single cell diode model. The simulation is done to analyze PV panel characteristics especially in variation of temperature and irradiations. These characteristics are used for the inputs in 'developing the Fuzzy Logic (FL) controller. As to control and maintain the temperature of PV panel on its optimum level, a cooling system is developed into the system. The cooling system helps to increase the PV voltage output as well as the power produce. From the simulation, I-V and P-V characteristics of PV panel are obtained. The implementation of cooling system results in 3.09% and 1.96% of Vpv and VOUT percentage change increasing respectively when the PV temperature drop down to 17.71 % averagely. This clearly shows the Vpv produce depends on the PV temperature. By implementing FL based CV algorithm into this method, it makes the system more robust and reliable in terms of effectiveness and efficiency. In conclusion, a standalone PV system is successfully designed and analyzed in both simulation and experimental set up to determine the PV panel characteristics and increase the system performances. By implementing the cooling system for PV panel as well as using FL controller in tracking PV MPP enhanced the performances of PV system and reduces the problems that affect the power generation from PV panel.
format Thesis
author Nurul Afiqah, Zainal
author_facet Nurul Afiqah, Zainal
author_sort Nurul Afiqah, Zainal
title Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
title_short Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
title_full Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
title_fullStr Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
title_full_unstemmed Investigation of maximum power point tracking (MPPT) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
title_sort investigation of maximum power point tracking (mppt) for active cooling mono-crystalline photovoltaic panel using fuzzy logic controller
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/20460/16/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller.pdf
http://umpir.ump.edu.my/id/eprint/20460/
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score 13.188404