Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation.
Accurately simulating photovoltaic (PV) modules requires precise parameter extraction, a complex task due to the nonlinear nature of these systems. This study introduces the Mother Tree Optimization with Climate Change (MTO-CL) algorithm to address this challenge by enhancing parameter estimation fo...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318575 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849313371972698112 |
|---|---|
| author | Mouncef El Marghichi Abdelilah Hilali Abdelkhalek Chellakhi Mohamed Makhad Azeddine Loulijat Najib El Ouanjli Abdelhak Essounaini Vikash Kumar Saini Ameena Saad Al-Sumaiti |
| author_facet | Mouncef El Marghichi Abdelilah Hilali Abdelkhalek Chellakhi Mohamed Makhad Azeddine Loulijat Najib El Ouanjli Abdelhak Essounaini Vikash Kumar Saini Ameena Saad Al-Sumaiti |
| author_sort | Mouncef El Marghichi |
| collection | DOAJ |
| description | Accurately simulating photovoltaic (PV) modules requires precise parameter extraction, a complex task due to the nonlinear nature of these systems. This study introduces the Mother Tree Optimization with Climate Change (MTO-CL) algorithm to address this challenge by enhancing parameter estimation for a solar PV three-diode model. MTO-CL improves optimization performance by incorporating climate change-inspired adaptations, which affect two key phases: elimination (refreshing 20% of suboptimal solutions) and distortion (slight adjustments to 80% of remaining solutions). This balance between exploration and exploitation allows the algorithm to dynamically and effectively identify optimal parameters. Compared to seven alternative methods, MTO-CL shows superior performance in parameter estimation for various solar modules, including ST40 and SM55, across different irradiances and temperatures. It achieves exceptionally low Root Mean Square Error (RMSE) values from 0.0025A to 0.0165A and Mean Squared Error (MSE) values between 6.2 × 10^-6 and 2.7 × 10^-4, while also significantly minimizing power errors, ranging from 22.86 mW to 239.40 mW. These results demonstrate MTO-CL's effectiveness in improving the accuracy and reliability of PV system modeling, offering a robust tool for enhanced solar energy applications. |
| format | Article |
| id | doaj-art-bbde419cb73d4404b6f573d2b8e73c7b |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-bbde419cb73d4404b6f573d2b8e73c7b2025-08-20T03:52:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01203e031857510.1371/journal.pone.0318575Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation.Mouncef El MarghichiAbdelilah HilaliAbdelkhalek ChellakhiMohamed MakhadAzeddine LoulijatNajib El OuanjliAbdelhak EssounainiVikash Kumar SainiAmeena Saad Al-SumaitiAccurately simulating photovoltaic (PV) modules requires precise parameter extraction, a complex task due to the nonlinear nature of these systems. This study introduces the Mother Tree Optimization with Climate Change (MTO-CL) algorithm to address this challenge by enhancing parameter estimation for a solar PV three-diode model. MTO-CL improves optimization performance by incorporating climate change-inspired adaptations, which affect two key phases: elimination (refreshing 20% of suboptimal solutions) and distortion (slight adjustments to 80% of remaining solutions). This balance between exploration and exploitation allows the algorithm to dynamically and effectively identify optimal parameters. Compared to seven alternative methods, MTO-CL shows superior performance in parameter estimation for various solar modules, including ST40 and SM55, across different irradiances and temperatures. It achieves exceptionally low Root Mean Square Error (RMSE) values from 0.0025A to 0.0165A and Mean Squared Error (MSE) values between 6.2 × 10^-6 and 2.7 × 10^-4, while also significantly minimizing power errors, ranging from 22.86 mW to 239.40 mW. These results demonstrate MTO-CL's effectiveness in improving the accuracy and reliability of PV system modeling, offering a robust tool for enhanced solar energy applications.https://doi.org/10.1371/journal.pone.0318575 |
| spellingShingle | Mouncef El Marghichi Abdelilah Hilali Abdelkhalek Chellakhi Mohamed Makhad Azeddine Loulijat Najib El Ouanjli Abdelhak Essounaini Vikash Kumar Saini Ameena Saad Al-Sumaiti Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation. PLoS ONE |
| title | Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation. |
| title_full | Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation. |
| title_fullStr | Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation. |
| title_full_unstemmed | Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation. |
| title_short | Accurate extraction of electrical parameters in three-diode photovoltaic systems through the enhanced mother tree methodology: A novel approach for parameter estimation. |
| title_sort | accurate extraction of electrical parameters in three diode photovoltaic systems through the enhanced mother tree methodology a novel approach for parameter estimation |
| url | https://doi.org/10.1371/journal.pone.0318575 |
| work_keys_str_mv | AT mouncefelmarghichi accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation AT abdelilahhilali accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation AT abdelkhalekchellakhi accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation AT mohamedmakhad accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation AT azeddineloulijat accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation AT najibelouanjli accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation AT abdelhakessounaini accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation AT vikashkumarsaini accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation AT ameenasaadalsumaiti accurateextractionofelectricalparametersinthreediodephotovoltaicsystemsthroughtheenhancedmothertreemethodologyanovelapproachforparameterestimation |