id ump-20460
recordtype eprints
spelling ump-204602018-03-12T03:00:34Z 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 application/pdf en http://umpir.ump.edu.my/id/eprint/20460/1/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller-Table%20of%20contents.PDF application/pdf en http://umpir.ump.edu.my/id/eprint/20460/6/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller-Abstract.PDF application/pdf en http://umpir.ump.edu.my/id/eprint/20460/11/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller-References.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. http://iportal.ump.edu.my/lib/item?id=chamo:99605&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
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/
http://umpir.ump.edu.my/id/eprint/20460/
http://umpir.ump.edu.my/id/eprint/20460/1/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller-Table%20of%20contents.PDF
http://umpir.ump.edu.my/id/eprint/20460/6/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller-Abstract.PDF
http://umpir.ump.edu.my/id/eprint/20460/11/Investigation%20of%20maximum%20power%20point%20tracking%20%28MPPT%29%20for%20active%20cooling%20mono-crystalline%20photovoltaic%20panel%20using%20fuzzy%20logic%20controller-References.PDF
first_indexed 2023-09-18T22:29:30Z
last_indexed 2023-09-18T22:29:30Z
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