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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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87825/ http://psasir.upm.edu.my/id/eprint/87825/1/ABSTRACT.pdf |
| _version_ | 1848860507810824192 |
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| author | Mohammad, Altwallbah Neda Mahmod Mohd Radzi, Mohd Amran Azis, Norhafiz |
| author_facet | Mohammad, Altwallbah Neda Mahmod Mohd Radzi, Mohd Amran Azis, Norhafiz |
| author_sort | Mohammad, Altwallbah Neda Mahmod |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T12:46:20Z |
| format | Article |
| id | upm-87825 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:46:20Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/87825/ http://psasir.upm.edu.my/id/eprint/87825/ http://psasir.upm.edu.my/id/eprint/87825/ http://psasir.upm.edu.my/id/eprint/87825/1/ABSTRACT.pdf |