An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions

In this paper, we propose enhanced adaptive step size Perturb and Observe (P&O) maximum power point tracking (MPPT) with properly organized comparison sequences which lead to achieving the actual maximum power point (MPP) effectively in the presence of partial shading conditions, taking into acc...

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Main Authors: Mohammad, Altwallbah Neda Mahmod, Mohd Radzi, Mohd Amran, Azis, Norhafiz
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Online Access:http://psasir.upm.edu.my/id/eprint/87825/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/87825/
https://www.mdpi.com/2076-3417/10/11/3912
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spelling my.upm.eprints.878252022-06-14T06:25:23Z http://psasir.upm.edu.my/id/eprint/87825/ An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions Mohammad, Altwallbah Neda Mahmod Mohd Radzi, Mohd Amran Azis, Norhafiz In this paper, we propose enhanced adaptive step size Perturb and Observe (P&O) maximum power point tracking (MPPT) with properly organized comparison sequences which lead to achieving the actual maximum power point (MPP) effectively in the presence of partial shading conditions, taking into account the optimization of all aspects of high-performance MPPT to be novel, simpler, fast, and accurate, with the best efficiency reaching up to almost 100%. In this study, the proposed algorithm, along with a boost converter, was designed and simulated in MATLAB/Simulink to validate the performance of the suggested technique. Four different levels of partial shading conditions were considered for system examination: weak, moderate, and two different levels of strong shading. Each case was applied separately first and then combined in a sequence arrangement to provide robust and comprehensive testing which can provide a guaranteed assessment of the proposed algorithm. The performance of the suggested technique is discussed and compared with that of conventional P&O and conventional incremental conductance (IC) MPPT techniques. The failure of the conventional techniques to work efficiently in the presence of partial shading conditions was observed from the simulation results. Meanwhile, the success of the proposed technique and its high performance were clearly confirmed under partial shading conditions with no increase in complexity or convergence time. Multidisciplinary Digital Publishing Institute 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/87825/1/ABSTRACT.pdf Mohammad, Altwallbah Neda Mahmod and Mohd Radzi, Mohd Amran and Azis, Norhafiz (2020) An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions. Applied Sciences-Basel, 10 (11). pp. 1-27. ISSN 2076-3417 https://www.mdpi.com/2076-3417/10/11/3912 10.3390/app10113912
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In this paper, we propose enhanced adaptive step size Perturb and Observe (P&O) maximum power point tracking (MPPT) with properly organized comparison sequences which lead to achieving the actual maximum power point (MPP) effectively in the presence of partial shading conditions, taking into account the optimization of all aspects of high-performance MPPT to be novel, simpler, fast, and accurate, with the best efficiency reaching up to almost 100%. In this study, the proposed algorithm, along with a boost converter, was designed and simulated in MATLAB/Simulink to validate the performance of the suggested technique. Four different levels of partial shading conditions were considered for system examination: weak, moderate, and two different levels of strong shading. Each case was applied separately first and then combined in a sequence arrangement to provide robust and comprehensive testing which can provide a guaranteed assessment of the proposed algorithm. The performance of the suggested technique is discussed and compared with that of conventional P&O and conventional incremental conductance (IC) MPPT techniques. The failure of the conventional techniques to work efficiently in the presence of partial shading conditions was observed from the simulation results. Meanwhile, the success of the proposed technique and its high performance were clearly confirmed under partial shading conditions with no increase in complexity or convergence time.
format Article
author Mohammad, Altwallbah Neda Mahmod
Mohd Radzi, Mohd Amran
Azis, Norhafiz
spellingShingle Mohammad, Altwallbah Neda Mahmod
Mohd Radzi, Mohd Amran
Azis, Norhafiz
An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions
author_facet Mohammad, Altwallbah Neda Mahmod
Mohd Radzi, Mohd Amran
Azis, Norhafiz
author_sort Mohammad, Altwallbah Neda Mahmod
title An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions
title_short An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions
title_full An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions
title_fullStr An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions
title_full_unstemmed An enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions
title_sort enhanced adaptive perturb and observe technique for efficient maximum power point tracking under partial shading conditions
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/87825/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/87825/
https://www.mdpi.com/2076-3417/10/11/3912
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score 13.211869