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Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions

Photovoltaic (PV) energy has grown enough to be the most popular renewable energy source due its sustainability and advantageous properties. However, the performance of the PV panels is highly sensitive to weather variations and the incident illumination. PV system performance is highly impacted...

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Main Author: Altwallbah, Neda Mahmod Mohammad.
Format: Thesis
Language:English
Published: 2022
Subjects:
Photovoltaic power systems
Online Access:http://psasir.upm.edu.my/id/eprint/114903/1/114903.pdf
http://psasir.upm.edu.my/id/eprint/114903/
http://ethesis.upm.edu.my/id/eprint/18205
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spelling my.upm.eprints.1149032025-02-25T02:31:07Z http://psasir.upm.edu.my/id/eprint/114903/ Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions Altwallbah, Neda Mahmod Mohammad. Photovoltaic (PV) energy has grown enough to be the most popular renewable energy source due its sustainability and advantageous properties. However, the performance of the PV panels is highly sensitive to weather variations and the incident illumination. PV system performance is highly impacted by partial shading conditions (PSCs), The shading affects the pattern of the power- voltage (P–V) characteristic curve to contain more than one power peak, which creates difficulties on extracting the maximum power point (MPP), and hence, the generated power will reduce. Many maximum power point tracking (MPPT) algorithms were proposed in literature, such as conventional and soft computing algorithms. Among all proposed algorithms, perturb and observe (P&O) algorithm is the most popular due to its simplicity and good convergence. However, P&O suffers from considerable oscillation in the output power, and in the original form, P&O is not capable to perform efficiently under PSC, and needs improvement to be prosperous. Several works proposed different modifications on P&O algorithm to handle the main drawbacks, in addition to combine the P&O algorithm with a soft computing algorithm to track global peak under PSC, which is known as the hybrid approach. These improvements presented an enhanced performance, but the performance enhancement comes at the expense of the algorithm simplicity, computational overhead, requirements and tracking speed. Therefore, the proposed work has the main target on improving P&O by three sequenced phases. The first is to introduce a modification in conventional P&O algorithm, to be able to achieve the global maximum power point (GMPP) effectively in the presence of shading conditions. The second is to propose a hybrid MPPT algorithm based on modified P&O algorithm assisted by Extremum Seeking Control (ESC) approach, in order to maximize the extracted PV power under complex PSC. The third is to present a novel P&O GMPP tracking algorithm. Employing trapezoidal rule concept as a new consideration in the P&O tracking process is successful to result a highly efficient approach in extracting the extreme available power from the PV array under PSCs and severe cases of weather fluctuation. The three proposed algorithms are tested under different cases of PSC, considering a comprehensive weather fluctuation such as sudden and fast change in incident radiation levels. The algorithm is validated using two different methodologies: a simulation model in MATLAB/Simulink and hardware implementation. 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 has been achieved, with the desired level of simplicity without the need to complicated computations or random particles. In this research, the performance of the P&O algorithm is gradually improved, starting with modified P&O and progressing to hybrid P&O and finally to a new version of P&O that can be efficiently applicable under PSC as well as under uniform weather conditions. 2022-11 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/114903/1/114903.pdf Altwallbah, Neda Mahmod Mohammad. (2022) Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions. Doctoral thesis, Universiti Putra Malaysia. http://ethesis.upm.edu.my/id/eprint/18205 Photovoltaic power systems
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
topic Photovoltaic power systems
spellingShingle Photovoltaic power systems
Altwallbah, Neda Mahmod Mohammad.
Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
description Photovoltaic (PV) energy has grown enough to be the most popular renewable energy source due its sustainability and advantageous properties. However, the performance of the PV panels is highly sensitive to weather variations and the incident illumination. PV system performance is highly impacted by partial shading conditions (PSCs), The shading affects the pattern of the power- voltage (P–V) characteristic curve to contain more than one power peak, which creates difficulties on extracting the maximum power point (MPP), and hence, the generated power will reduce. Many maximum power point tracking (MPPT) algorithms were proposed in literature, such as conventional and soft computing algorithms. Among all proposed algorithms, perturb and observe (P&O) algorithm is the most popular due to its simplicity and good convergence. However, P&O suffers from considerable oscillation in the output power, and in the original form, P&O is not capable to perform efficiently under PSC, and needs improvement to be prosperous. Several works proposed different modifications on P&O algorithm to handle the main drawbacks, in addition to combine the P&O algorithm with a soft computing algorithm to track global peak under PSC, which is known as the hybrid approach. These improvements presented an enhanced performance, but the performance enhancement comes at the expense of the algorithm simplicity, computational overhead, requirements and tracking speed. Therefore, the proposed work has the main target on improving P&O by three sequenced phases. The first is to introduce a modification in conventional P&O algorithm, to be able to achieve the global maximum power point (GMPP) effectively in the presence of shading conditions. The second is to propose a hybrid MPPT algorithm based on modified P&O algorithm assisted by Extremum Seeking Control (ESC) approach, in order to maximize the extracted PV power under complex PSC. The third is to present a novel P&O GMPP tracking algorithm. Employing trapezoidal rule concept as a new consideration in the P&O tracking process is successful to result a highly efficient approach in extracting the extreme available power from the PV array under PSCs and severe cases of weather fluctuation. The three proposed algorithms are tested under different cases of PSC, considering a comprehensive weather fluctuation such as sudden and fast change in incident radiation levels. The algorithm is validated using two different methodologies: a simulation model in MATLAB/Simulink and hardware implementation. 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 has been achieved, with the desired level of simplicity without the need to complicated computations or random particles. In this research, the performance of the P&O algorithm is gradually improved, starting with modified P&O and progressing to hybrid P&O and finally to a new version of P&O that can be efficiently applicable under PSC as well as under uniform weather conditions.
format Thesis
author Altwallbah, Neda Mahmod Mohammad.
author_facet Altwallbah, Neda Mahmod Mohammad.
author_sort Altwallbah, Neda Mahmod Mohammad.
title Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
title_short Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
title_full Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
title_fullStr Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
title_full_unstemmed Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
title_sort solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/114903/1/114903.pdf
http://psasir.upm.edu.my/id/eprint/114903/
http://ethesis.upm.edu.my/id/eprint/18205
_version_ 1825162395879735296
score 13.239859

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