Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules
Among all renewable energy sources, solar cells are considered the most popular solution for a clean source of energy and have a wide range of applications from few watts to Megawatt industrial and domestic loads. Building a precise mathematical model based on nonlinear equations for solar cells as...
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| Format: | Article |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9126782/ |
| _version_ | 1819175835651801088 |
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| author | Ahmed A. Zaki Diab Hamdy M. Sultan Raseel Aljendy Ameena Saad Al-Sumaiti Masahito Shoyama Ziad M. Ali |
| author_facet | Ahmed A. Zaki Diab Hamdy M. Sultan Raseel Aljendy Ameena Saad Al-Sumaiti Masahito Shoyama Ziad M. Ali |
| author_sort | Ahmed A. Zaki Diab |
| collection | DOAJ |
| description | Among all renewable energy sources, solar cells are considered the most popular solution for a clean source of energy and have a wide range of applications from few watts to Megawatt industrial and domestic loads. Building a precise mathematical model based on nonlinear equations for solar cells as well as photovoltaic (PV) modules is an essential issue for reasonable performance assessment, control and optimal operation of PV energy systems. In the current study, a novel optimization algorithm, Tree Growth Algorithm (TGA), is applied for accurate and efficient extraction of the unknown solar cell and PV module parameters. TGA is applied for estimating the unidentified parameters of PV models. Single diode model (SDM), double diode model (DDM) and three diode model (TDM) are investigated in the mathematical models of both solar cells and PV modules. The obtained results from the application of TGA to achieve this objective are compared with different algorithms reported in the literature. Moreover, the results demonstrated that the proposed algorithm of TGA superior to other reported methods. The good matching of the I-V characteristic curve of the computed parameters with those of the measured data from the manufacturer's PV modules/cells datasheet proved that the proposed TGA may function as a competitor to the methods provided in literature for parameters' identification of PV of solar cells. |
| first_indexed | 2024-12-22T21:01:11Z |
| format | Article |
| id | doaj.art-bb248823090949159f185ba02f83f035 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T21:01:11Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bb248823090949159f185ba02f83f0352022-12-21T18:12:50ZengIEEEIEEE Access2169-35362020-01-01811966811968710.1109/ACCESS.2020.30052369126782Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and ModulesAhmed A. Zaki Diab0https://orcid.org/0000-0002-8598-9983Hamdy M. Sultan1https://orcid.org/0000-0002-7650-4497Raseel Aljendy2https://orcid.org/0000-0001-8291-0478Ameena Saad Al-Sumaiti3https://orcid.org/0000-0002-7742-8596Masahito Shoyama4https://orcid.org/0000-0002-2448-9942Ziad M. Ali5https://orcid.org/0000-0002-6959-9686Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, EgyptElectrical Engineering Department, Faculty of Engineering, Minia University, Minia, EgyptElectrical Power Systems Department, Moscow Power Engineering Institute (MPEI), Moscow, RussiaDepartment of Electrical Engineering and Computer Science, Advanced Power and Energy Center, Khalifa University, Abu Dhabi, United Arab EmiratesDepartment of Electrical and Electronic Engineering, Kyushu University, Fukuoka, JapanElectrical Engineering Department, Aswan Faculty of Engineering, Aswan University, Aswan, EgyptAmong all renewable energy sources, solar cells are considered the most popular solution for a clean source of energy and have a wide range of applications from few watts to Megawatt industrial and domestic loads. Building a precise mathematical model based on nonlinear equations for solar cells as well as photovoltaic (PV) modules is an essential issue for reasonable performance assessment, control and optimal operation of PV energy systems. In the current study, a novel optimization algorithm, Tree Growth Algorithm (TGA), is applied for accurate and efficient extraction of the unknown solar cell and PV module parameters. TGA is applied for estimating the unidentified parameters of PV models. Single diode model (SDM), double diode model (DDM) and three diode model (TDM) are investigated in the mathematical models of both solar cells and PV modules. The obtained results from the application of TGA to achieve this objective are compared with different algorithms reported in the literature. Moreover, the results demonstrated that the proposed algorithm of TGA superior to other reported methods. The good matching of the I-V characteristic curve of the computed parameters with those of the measured data from the manufacturer's PV modules/cells datasheet proved that the proposed TGA may function as a competitor to the methods provided in literature for parameters' identification of PV of solar cells.https://ieeexplore.ieee.org/document/9126782/Solar cellstree growth algorithmparameter estimationPV modelingoptimization |
| spellingShingle | Ahmed A. Zaki Diab Hamdy M. Sultan Raseel Aljendy Ameena Saad Al-Sumaiti Masahito Shoyama Ziad M. Ali Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules IEEE Access Solar cells tree growth algorithm parameter estimation PV modeling optimization |
| title | Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules |
| title_full | Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules |
| title_fullStr | Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules |
| title_full_unstemmed | Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules |
| title_short | Tree Growth Based Optimization Algorithm for Parameter Extraction of Different Models of Photovoltaic Cells and Modules |
| title_sort | tree growth based optimization algorithm for parameter extraction of different models of photovoltaic cells and modules |
| topic | Solar cells tree growth algorithm parameter estimation PV modeling optimization |
| url | https://ieeexplore.ieee.org/document/9126782/ |
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