An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems
This paper aims to improve the performance of the conventional perturb and observe (P&O) maximum power point tracking (MPPT) algorithm. As the oscillation around the maximum power point (MPP) is the main disadvantage of this technique, we introduce a modified P&O algorithm to c...
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IEEE
2023-01-01
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Series: | Journal of Modern Power Systems and Clean Energy |
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Online Access: | https://ieeexplore.ieee.org/document/9932550/ |
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author | Rasool Kahani Mohsin Jamil M. Tariq Iqbal |
author_facet | Rasool Kahani Mohsin Jamil M. Tariq Iqbal |
author_sort | Rasool Kahani |
collection | DOAJ |
description | This paper aims to improve the performance of the conventional perturb and observe (P&O) maximum power point tracking (MPPT) algorithm. As the oscillation around the maximum power point (MPP) is the main disadvantage of this technique, we introduce a modified P&O algorithm to conquer this handicap. The new algorithm recognizes approaching the peak of the photovoltaic (PV) array power curve and prevents the oscillation around the MPP. The key to achieve this goal is testing the change of output power in each cycle and comparing it with the change in array terminal power of the previous cycle. If a decrease in array terminal power is observed after an increase in the previous cycle or in the opposite direction, an increase in array terminal power is observed after a decrease in the previous cycle; it means we are at the peak of the power curve, so the duty cycle of the boost converter should remain the same as the previous cycle. Besides, an optimized duty cycle is introduced, which is adjusted based on the operating point of PV array. Furthermore, a DC-DC boost converter powered by a PV array simulator is used to test the proposed concept. When the irradiance changes, the proposed algorithm produces an average η<inf>MPPT</inf> of nearly 3.1% greater than that of the conventional P&O algorithm and the incremental conductance (InC) algorithm. In addition, under strong partial shading conditions and drift avoidance tests, the proposed algorithm produces an average η<inf>MPPT</inf> of nearly 9% and 8% greater than that of the conventional algorithms, respectively. |
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issn | 2196-5420 |
language | English |
last_indexed | 2024-03-12T21:29:54Z |
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publisher | IEEE |
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series | Journal of Modern Power Systems and Clean Energy |
spelling | doaj.art-c2f0e800e7fe48caac2bd9c80378fa402023-07-27T23:00:23ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202023-01-011141165117510.35833/MPCE.2022.0002459932550An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power SystemsRasool Kahani0Mohsin Jamil1M. Tariq Iqbal2Memorial University of New-foundland,Department of Electrical and Computer Engineering,St. John's,Canada,A1B 3X5Memorial University of New-foundland,Department of Electrical and Computer Engineering,St. John's,Canada,A1B 3X5Memorial University of New-foundland,Department of Electrical and Computer Engineering,St. John's,Canada,A1B 3X5This paper aims to improve the performance of the conventional perturb and observe (P&O) maximum power point tracking (MPPT) algorithm. As the oscillation around the maximum power point (MPP) is the main disadvantage of this technique, we introduce a modified P&O algorithm to conquer this handicap. The new algorithm recognizes approaching the peak of the photovoltaic (PV) array power curve and prevents the oscillation around the MPP. The key to achieve this goal is testing the change of output power in each cycle and comparing it with the change in array terminal power of the previous cycle. If a decrease in array terminal power is observed after an increase in the previous cycle or in the opposite direction, an increase in array terminal power is observed after a decrease in the previous cycle; it means we are at the peak of the power curve, so the duty cycle of the boost converter should remain the same as the previous cycle. Besides, an optimized duty cycle is introduced, which is adjusted based on the operating point of PV array. Furthermore, a DC-DC boost converter powered by a PV array simulator is used to test the proposed concept. When the irradiance changes, the proposed algorithm produces an average η<inf>MPPT</inf> of nearly 3.1% greater than that of the conventional P&O algorithm and the incremental conductance (InC) algorithm. In addition, under strong partial shading conditions and drift avoidance tests, the proposed algorithm produces an average η<inf>MPPT</inf> of nearly 9% and 8% greater than that of the conventional algorithms, respectively.https://ieeexplore.ieee.org/document/9932550/Photovoltaic systemmaximum power point tracking (MPPT)perturb and observe (P&O)boost convertersteady-state performance |
spellingShingle | Rasool Kahani Mohsin Jamil M. Tariq Iqbal An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems Journal of Modern Power Systems and Clean Energy Photovoltaic system maximum power point tracking (MPPT) perturb and observe (P&O) boost converter steady-state performance |
title | An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems |
title_full | An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems |
title_fullStr | An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems |
title_full_unstemmed | An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems |
title_short | An Improved Perturb and Observed Maximum Power Point Tracking Algorithm for Photovoltaic Power Systems |
title_sort | improved perturb and observed maximum power point tracking algorithm for photovoltaic power systems |
topic | Photovoltaic system maximum power point tracking (MPPT) perturb and observe (P&O) boost converter steady-state performance |
url | https://ieeexplore.ieee.org/document/9932550/ |
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