Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system

Due to the continuous variation in temperature and solar irradiance, P–V characteristics curve of a photovoltaic (PV) system exhibit a non-linear, time-varying Maximum Power Point (MPP). Furthermore, the tracking becomes more complicated when the PV array is partially shaded due to the presence of m...

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Main Author:	Ahmed, Jubaer
Format:	Thesis
Language:	English
Published:	2016
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/78091/1/JubaerAhmedPFKE2016.pdf
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spelling	my-utm-ep.780912018-07-23T06:10:25Z Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system 2016-06 Ahmed, Jubaer TK Electrical engineering. Electronics Nuclear engineering Due to the continuous variation in temperature and solar irradiance, P–V characteristics curve of a photovoltaic (PV) system exhibit a non-linear, time-varying Maximum Power Point (MPP). Furthermore, the tracking becomes more complicated when the PV array is partially shaded due to the presence of multiple peaks. This work proposes a Maximum Power Point Tracking (MPPT) algorithm named Modified Adaptive Perturb and Observe (MA-P&O) to address two main limitations of the conventional Perturb and Observe (P&O), namely the steady state oscillation and the divergence from the MPP. At the same time, it locates the global peak during partial shading. The MA-P&O is equipped with an intelligent mechanism to detect the steady state oscillation, and then deploy an adaptive perturbation procedure to reduce it to the minimum. Furthermore, to avoid operating voltage from diverging from its locus, a dynamic boundary condition is imposed. For partial shading, an effective checking mechanism to precisely detect partial shading occurrence is suggested. In addition, an improved set of equation is developed to detect the exact position of local peaks under partial shading. To assess its feasibility, the proposed ideas are simulated using comprehensive PV simulator. For practical validation, the algorithm is implemented in hardware using a buck-boost converter in conjunction with dSPACE DS1104 DSP board. It is demonstrated that under the dynamic irradiance and partial shading test, the MA-P&O ensures the MPPT efficiency is 99.5%. Furthermore, when evaluated against the European Standard EN 50530 test, the MA-P&O records a 98.6% efficiency; this is up to 18% higher than the conventional and other adaptive P&O. Finally, MA-P&O is tested with a tropical daily irradiance and temperature profile. It is found that MA-P&O successfully ensures 99.2%, which is on average 3% higher than the other P&O based algorithms. 2016-06 Thesis http://eprints.utm.my/id/eprint/78091/ http://eprints.utm.my/id/eprint/78091/1/JubaerAhmedPFKE2016.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:94092 phd doctoral 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 Ahmed, Jubaer Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system
description	Due to the continuous variation in temperature and solar irradiance, P–V characteristics curve of a photovoltaic (PV) system exhibit a non-linear, time-varying Maximum Power Point (MPP). Furthermore, the tracking becomes more complicated when the PV array is partially shaded due to the presence of multiple peaks. This work proposes a Maximum Power Point Tracking (MPPT) algorithm named Modified Adaptive Perturb and Observe (MA-P&O) to address two main limitations of the conventional Perturb and Observe (P&O), namely the steady state oscillation and the divergence from the MPP. At the same time, it locates the global peak during partial shading. The MA-P&O is equipped with an intelligent mechanism to detect the steady state oscillation, and then deploy an adaptive perturbation procedure to reduce it to the minimum. Furthermore, to avoid operating voltage from diverging from its locus, a dynamic boundary condition is imposed. For partial shading, an effective checking mechanism to precisely detect partial shading occurrence is suggested. In addition, an improved set of equation is developed to detect the exact position of local peaks under partial shading. To assess its feasibility, the proposed ideas are simulated using comprehensive PV simulator. For practical validation, the algorithm is implemented in hardware using a buck-boost converter in conjunction with dSPACE DS1104 DSP board. It is demonstrated that under the dynamic irradiance and partial shading test, the MA-P&O ensures the MPPT efficiency is 99.5%. Furthermore, when evaluated against the European Standard EN 50530 test, the MA-P&O records a 98.6% efficiency; this is up to 18% higher than the conventional and other adaptive P&O. Finally, MA-P&O is tested with a tropical daily irradiance and temperature profile. It is found that MA-P&O successfully ensures 99.2%, which is on average 3% higher than the other P&O based algorithms.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ahmed, Jubaer
author_facet	Ahmed, Jubaer
author_sort	Ahmed, Jubaer
title	Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system
title_short	Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system
title_full	Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system
title_fullStr	Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system
title_full_unstemmed	Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system
title_sort	modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2016
url	http://eprints.utm.my/id/eprint/78091/1/JubaerAhmedPFKE2016.pdf
_version_	1747817904800268288

Modified adaptive perturb and observe maximum power point tracking algorithm for higher effiency in photovoltaic system

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