Reconfigured single- and double-diode models for improved modelling of solar cells/modules
Abstract Proper modeling of PV cells/modules through parameter identification based on the real current-voltage (I-V) data is important for the efficiency of PV systems. Most related works have concentrated on the classical single-diode model (SDM) and double-diode model (DDM) and their parameter ex...
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Nature Portfolio
2025-01-01
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| Online Access: | https://doi.org/10.1038/s41598-025-86063-2 |
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| author | Emre Çelik Mehmet Karayel Dinçer Maden Mahmoud Abdel-Salam Nihat Öztürk Orhan Kaplan Ghanshyam G. Tejani Sunil Kumar Sharma Mohammed Baljon |
| author_facet | Emre Çelik Mehmet Karayel Dinçer Maden Mahmoud Abdel-Salam Nihat Öztürk Orhan Kaplan Ghanshyam G. Tejani Sunil Kumar Sharma Mohammed Baljon |
| author_sort | Emre Çelik |
| collection | DOAJ |
| description | Abstract Proper modeling of PV cells/modules through parameter identification based on the real current-voltage (I-V) data is important for the efficiency of PV systems. Most related works have concentrated on the classical single-diode model (SDM) and double-diode model (DDM) and their parameter extraction by various metaheuristic algorithms. In order to render more accurate and representative modeling, this paper adds a small resistance in series with the diodes in SDM and DDM. The new models are named reconfigured SDM (Reconfig-SDM) and reconfigured DDM (Reconfig-DDM), and they have not been studied so far as we know. A squirrel search algorithm (SSA) is employed to globally find the parameters of the new models. The performance achieved is experimentally tested on both a commercial RTC France solar cell and a CS6P-220P polycrystalline PV module located at Düzce University in Türkiye. A vivid comparison of experimental findings, observation, and analysis clearly demonstrates that the proposed Reconfig-SDM and Reconfig-DDM tuned by the SSA have better capacity and effectiveness for modeling PV devices than some cutting-edge approaches. Specifically, compared with the best-performing approach in the literature, Reconfig-SDM and Reconfig-DDM could reduce the error rate up to 0.37% and 2.58% for the solar cell, and 3.21% and 29.0% for the solar module. |
| format | Article |
| id | doaj-art-420de13ca5fe45cebe2d88fb18b7e91d |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-420de13ca5fe45cebe2d88fb18b7e91d2025-01-19T12:23:48ZengNature PortfolioScientific Reports2045-23222025-01-0115111910.1038/s41598-025-86063-2Reconfigured single- and double-diode models for improved modelling of solar cells/modulesEmre Çelik0Mehmet Karayel1Dinçer Maden2Mahmoud Abdel-Salam3Nihat Öztürk4Orhan Kaplan5Ghanshyam G. Tejani6Sunil Kumar Sharma7Mohammed Baljon8Department of Electrical and Electronics Engineering, Engineering Faculty, Düzce UniversityDepartment of Electrical and Energy, Vocational School, Çankırı Karatekin UniversityDepartment of Electrical and Electronics Engineering, Engineering Faculty, Düzce UniversityFaculty of Computer and Information Science, Mansoura UniversityDepartment of Electrical and Electronics Engineering, Technology Faculty, Gazi UniversityDepartment of Electrical and Electronics Engineering, Technology Faculty, Gazi UniversityDepartment of Industrial Engineering and Management, Yuan Ze UniversityDepartment of Information Systems, College of Computer and Information Sciences, Majmaah UniversityDepartment of Computer Engineering, College of Computer and Information Sciences, Majmaah UniversityAbstract Proper modeling of PV cells/modules through parameter identification based on the real current-voltage (I-V) data is important for the efficiency of PV systems. Most related works have concentrated on the classical single-diode model (SDM) and double-diode model (DDM) and their parameter extraction by various metaheuristic algorithms. In order to render more accurate and representative modeling, this paper adds a small resistance in series with the diodes in SDM and DDM. The new models are named reconfigured SDM (Reconfig-SDM) and reconfigured DDM (Reconfig-DDM), and they have not been studied so far as we know. A squirrel search algorithm (SSA) is employed to globally find the parameters of the new models. The performance achieved is experimentally tested on both a commercial RTC France solar cell and a CS6P-220P polycrystalline PV module located at Düzce University in Türkiye. A vivid comparison of experimental findings, observation, and analysis clearly demonstrates that the proposed Reconfig-SDM and Reconfig-DDM tuned by the SSA have better capacity and effectiveness for modeling PV devices than some cutting-edge approaches. Specifically, compared with the best-performing approach in the literature, Reconfig-SDM and Reconfig-DDM could reduce the error rate up to 0.37% and 2.58% for the solar cell, and 3.21% and 29.0% for the solar module.https://doi.org/10.1038/s41598-025-86063-2PV modelingI-V characteristicReconfigured SDMReconfigured DDMParameter identificationSquirrel search algorithm |
| spellingShingle | Emre Çelik Mehmet Karayel Dinçer Maden Mahmoud Abdel-Salam Nihat Öztürk Orhan Kaplan Ghanshyam G. Tejani Sunil Kumar Sharma Mohammed Baljon Reconfigured single- and double-diode models for improved modelling of solar cells/modules Scientific Reports PV modeling I-V characteristic Reconfigured SDM Reconfigured DDM Parameter identification Squirrel search algorithm |
| title | Reconfigured single- and double-diode models for improved modelling of solar cells/modules |
| title_full | Reconfigured single- and double-diode models for improved modelling of solar cells/modules |
| title_fullStr | Reconfigured single- and double-diode models for improved modelling of solar cells/modules |
| title_full_unstemmed | Reconfigured single- and double-diode models for improved modelling of solar cells/modules |
| title_short | Reconfigured single- and double-diode models for improved modelling of solar cells/modules |
| title_sort | reconfigured single and double diode models for improved modelling of solar cells modules |
| topic | PV modeling I-V characteristic Reconfigured SDM Reconfigured DDM Parameter identification Squirrel search algorithm |
| url | https://doi.org/10.1038/s41598-025-86063-2 |
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