New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions

This paper proposes a new version of the perturb and observe (P&O) algorithm which is able to recognize the global maximum power point (GMPP) among the multiple maximum peaks that exist in the P-V curve under the effect of the partial shading condition (PSC). For the first time, Trapezoidal rule...

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Main Authors: Mahmod Mohammad Altwallbah, Neda, Mohd Radzi, Mohd Amran, Azis, Norhafiz, Shafie, Suhaidi, Mohd Zainuri, Muhammad Ammirrul Atiqi
Format: Article
Published: Elsevier 2022
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author Mahmod Mohammad Altwallbah, Neda
Mohd Radzi, Mohd Amran
Azis, Norhafiz
Shafie, Suhaidi
Mohd Zainuri, Muhammad Ammirrul Atiqi
author_facet Mahmod Mohammad Altwallbah, Neda
Mohd Radzi, Mohd Amran
Azis, Norhafiz
Shafie, Suhaidi
Mohd Zainuri, Muhammad Ammirrul Atiqi
author_sort Mahmod Mohammad Altwallbah, Neda
collection UPM
description This paper proposes a new version of the perturb and observe (P&O) algorithm which is able to recognize the global maximum power point (GMPP) among the multiple maximum peaks that exist in the P-V curve under the effect of the partial shading condition (PSC). For the first time, Trapezoidal rule concept is employed in P&O approach as a new consideration in the tracking process to calculate the best path for precisely tracking the GMPP. The new algorithm allows the search to continue until the extremum maximum is identified among numerous local maximums, rather than being imprisoned at one of the local maximums as is the case with the standard algorithm. Furthermore, the algorithm is able to achieve the MPP efficiently under the presence of rapid and abrupt changes in irradiation levels. The proposed Trapezoidal rule based P&O algorithm is evaluated under three conditions: (1) under uniform irradiance (2) under shading conditions and (3) under sudden and step changes in irradiation levels as well as the transition between shading patterns. The feasibility and effectiveness of the suggested algorithm, as well as the well-designed boost converter, are validated using two different methodologies: a simulation model in MATLAB/Simulink and hardware implementation by the (TMS320F28335) digital signal processing controller. Both simulation and hardware results confirm that the proposed algorithm provides excellent efficiency of 100% and 99.6% respectively. The GMPP is achieved within less than 100 ms, which is extremely advantageous tracking time, that avoids the power losses. In addition, the minimal steady-state oscillation is shown, with the desired level of simplicity without the need to complicated computations or random particles.
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spelling upm.eprints-1023102023-05-22T08:21:15Z http://psasir.upm.edu.my/id/eprint/102310/ New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions Mahmod Mohammad Altwallbah, Neda Mohd Radzi, Mohd Amran Azis, Norhafiz Shafie, Suhaidi Mohd Zainuri, Muhammad Ammirrul Atiqi This paper proposes a new version of the perturb and observe (P&O) algorithm which is able to recognize the global maximum power point (GMPP) among the multiple maximum peaks that exist in the P-V curve under the effect of the partial shading condition (PSC). For the first time, Trapezoidal rule concept is employed in P&O approach as a new consideration in the tracking process to calculate the best path for precisely tracking the GMPP. The new algorithm allows the search to continue until the extremum maximum is identified among numerous local maximums, rather than being imprisoned at one of the local maximums as is the case with the standard algorithm. Furthermore, the algorithm is able to achieve the MPP efficiently under the presence of rapid and abrupt changes in irradiation levels. The proposed Trapezoidal rule based P&O algorithm is evaluated under three conditions: (1) under uniform irradiance (2) under shading conditions and (3) under sudden and step changes in irradiation levels as well as the transition between shading patterns. The feasibility and effectiveness of the suggested algorithm, as well as the well-designed boost converter, are validated using two different methodologies: a simulation model in MATLAB/Simulink and hardware implementation by the (TMS320F28335) digital signal processing controller. Both simulation and hardware results confirm that the proposed algorithm provides excellent efficiency of 100% and 99.6% respectively. The GMPP is achieved within less than 100 ms, which is extremely advantageous tracking time, that avoids the power losses. In addition, the minimal steady-state oscillation is shown, with the desired level of simplicity without the need to complicated computations or random particles. Elsevier 2022 Article PeerReviewed Mahmod Mohammad Altwallbah, Neda and Mohd Radzi, Mohd Amran and Azis, Norhafiz and Shafie, Suhaidi and Mohd Zainuri, Muhammad Ammirrul Atiqi (2022) New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions. Energy Conversion and Management, 264. pp. 1-23. ISSN 0196-8904; ESSN: 1879-2227 https://www.sciencedirect.com/science/article/pii/S0196890422005349 10.1016/j.enconman.2022.115738
spellingShingle Mahmod Mohammad Altwallbah, Neda
Mohd Radzi, Mohd Amran
Azis, Norhafiz
Shafie, Suhaidi
Mohd Zainuri, Muhammad Ammirrul Atiqi
New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions
title New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions
title_full New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions
title_fullStr New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions
title_full_unstemmed New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions
title_short New perturb and observe algorithm based on trapezoidal rule: uniform and partial shading conditions
title_sort new perturb and observe algorithm based on trapezoidal rule uniform and partial shading conditions
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AT azisnorhafiz newperturbandobservealgorithmbasedontrapezoidalruleuniformandpartialshadingconditions
AT shafiesuhaidi newperturbandobservealgorithmbasedontrapezoidalruleuniformandpartialshadingconditions
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