Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods

Extraction of the photovoltaic (PV) model parameters is critical for forecasting these systems’ energy output. Numerous research have reviewed and presented approaches for figuring out the PV models parameter optimization problem in the literature. However, few studies have been undertaken to constr...

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Main Authors: Mohammed Ridha, Hussein, Hizam, Hashim, Mirjalili, Seyedali, Othman, Mohammad Lutfi, Ya'acob, Mohammad Effendy, Ahmadipour, Masoud
Format: Article
Published: Elsevier 2022
Online Access:http://psasir.upm.edu.my/id/eprint/102443/
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author Mohammed Ridha, Hussein
Hizam, Hashim
Mirjalili, Seyedali
Othman, Mohammad Lutfi
Ya'acob, Mohammad Effendy
Ahmadipour, Masoud
author_facet Mohammed Ridha, Hussein
Hizam, Hashim
Mirjalili, Seyedali
Othman, Mohammad Lutfi
Ya'acob, Mohammad Effendy
Ahmadipour, Masoud
author_sort Mohammed Ridha, Hussein
building UPM Institutional Repository
collection Online Access
description Extraction of the photovoltaic (PV) model parameters is critical for forecasting these systems’ energy output. Numerous research have reviewed and presented approaches for figuring out the PV models parameter optimization problem in the literature. However, few studies have been undertaken to construct the objective function, or no review papers have been published on the applied methodologies for solving the equations of nonlinear, multi-variable, and complicated PV models based on the datasheet information or actual experimental data. Therefore, this study seeks to first explore the acquired approaches to solve the equations of PV models. Then, utilizing actual measured laboratory data collected under a variety of environmental circumstances, a hybrid approach for efficiently determining unknown the parameters of the single, double, and three diodes PV model has been developed. The proposed guaranteed convergence arithmetic optimization algorithm based on efficient modified third order Newton Raphson (GCAOAEmNR) method highlights important contributions to the literature in terms of methodology (explorer-exploiter phases) and objective function design. The experimental findings exhibit that the GCAOAEmNR minimizes the error to zero under diverse statistical criteria and environmental conditions. Moreover, the GCAOAEmNR beats all well-published approaches in the literature in terms of accuracy, stability, and convergence rate while requiring a reasonable amount of processing time.
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institution Universiti Putra Malaysia
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publishDate 2022
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spelling upm-1024432023-05-18T03:08:58Z http://psasir.upm.edu.my/id/eprint/102443/ Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods Mohammed Ridha, Hussein Hizam, Hashim Mirjalili, Seyedali Othman, Mohammad Lutfi Ya'acob, Mohammad Effendy Ahmadipour, Masoud Extraction of the photovoltaic (PV) model parameters is critical for forecasting these systems’ energy output. Numerous research have reviewed and presented approaches for figuring out the PV models parameter optimization problem in the literature. However, few studies have been undertaken to construct the objective function, or no review papers have been published on the applied methodologies for solving the equations of nonlinear, multi-variable, and complicated PV models based on the datasheet information or actual experimental data. Therefore, this study seeks to first explore the acquired approaches to solve the equations of PV models. Then, utilizing actual measured laboratory data collected under a variety of environmental circumstances, a hybrid approach for efficiently determining unknown the parameters of the single, double, and three diodes PV model has been developed. The proposed guaranteed convergence arithmetic optimization algorithm based on efficient modified third order Newton Raphson (GCAOAEmNR) method highlights important contributions to the literature in terms of methodology (explorer-exploiter phases) and objective function design. The experimental findings exhibit that the GCAOAEmNR minimizes the error to zero under diverse statistical criteria and environmental conditions. Moreover, the GCAOAEmNR beats all well-published approaches in the literature in terms of accuracy, stability, and convergence rate while requiring a reasonable amount of processing time. Elsevier 2022 Article PeerReviewed Mohammed Ridha, Hussein and Hizam, Hashim and Mirjalili, Seyedali and Othman, Mohammad Lutfi and Ya'acob, Mohammad Effendy and Ahmadipour, Masoud (2022) Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods. Renewable & Sustainable Energy Reviews, 162. art. no. 112436. pp. 1-38. ISSN 1364-0321; ESSN: 1879-0690 https://www.sciencedirect.com/science/article/pii/S1364032122003422?via%3Dihub 10.1016/j.rser.2022.112436
spellingShingle Mohammed Ridha, Hussein
Hizam, Hashim
Mirjalili, Seyedali
Othman, Mohammad Lutfi
Ya'acob, Mohammad Effendy
Ahmadipour, Masoud
Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods
title Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods
title_full Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods
title_fullStr Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods
title_full_unstemmed Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods
title_short Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods
title_sort parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order newton raphson methods
url http://psasir.upm.edu.my/id/eprint/102443/
http://psasir.upm.edu.my/id/eprint/102443/
http://psasir.upm.edu.my/id/eprint/102443/