Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators
Abstract Estimating parameters in solar cell models is crucial for simulating and designing photovoltaic systems. The single-diode, double-diode, and three-diode models represent these systems. Parameter estimation can be viewed as an optimization problem to minimize the difference between measured...
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-85841-2 |
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| author | Ala Saleh Alluhaidan Diaa Salama AbdElminaam Taraggy M. Ghanim Sahar A. El-Rahman Ibrahim Shawky Farahat Arar Al Tawil Yasmin Alkady Walaa H. Elashmawi |
| author_facet | Ala Saleh Alluhaidan Diaa Salama AbdElminaam Taraggy M. Ghanim Sahar A. El-Rahman Ibrahim Shawky Farahat Arar Al Tawil Yasmin Alkady Walaa H. Elashmawi |
| author_sort | Ala Saleh Alluhaidan |
| collection | DOAJ |
| description | Abstract Estimating parameters in solar cell models is crucial for simulating and designing photovoltaic systems. The single-diode, double-diode, and three-diode models represent these systems. Parameter estimation can be viewed as an optimization problem to minimize the difference between measured and estimated data. This study presents PV parameter estimation using the enhanced Sinh Cosh Optimizer (I_SCHO), incorporating trigonometric operators from the Sine Cosine Algorithm (SCA). This integration improves the algorithm’s ability to navigate complex search spaces, avoid local optima, and expedite convergence. Assessment criteria include runtime, convergence behaviour, minimum RMSE, and system reliability measured by SD. Results show that I_SCHO consistently delivers superior accuracy and reliability compared to other methods. Experiments were conducted on five solar cells: RTC France, Photowatt-PWP201, Kyocera KC200GT, Ultra 85-P, and STM6-40/36 module. The study also includes a comparative analysis using state-of-the-art algorithms, demonstrating I_SCHO’s efficiency through RMSE, Power Voltage (P-V) and Current Voltage (I-V) curves. |
| format | Article |
| id | doaj-art-e03f85faa04d40d98ebcfc887e8f6e83 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e03f85faa04d40d98ebcfc887e8f6e832025-02-09T12:33:51ZengNature PortfolioScientific Reports2045-23222025-02-0115114910.1038/s41598-025-85841-2Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operatorsAla Saleh Alluhaidan0Diaa Salama AbdElminaam1Taraggy M. Ghanim2Sahar A. El-Rahman3Ibrahim Shawky Farahat4Arar Al Tawil5Yasmin Alkady6Walaa H. Elashmawi7Departmemt of Information Systems, College of Computer and Information Science, Princess Nourah Bint Abdulrahman UniversityInformation Systems Department, Faculty of Computers and Artificial Intelligence, Benha UniversityFaculty of Computer Science, Misr International UniversityComputer Systems Program-Electrical Engineering Department, Faculty of Engineering-Shoubra, Benha UniversityFaculty of Computers and Information, Luxor UniversityFaculty of Information Technology, Applied Science Private UniversityFaculty of Computer Science, Misr International UniversityFaculty of Computer Science, Misr International UniversityAbstract Estimating parameters in solar cell models is crucial for simulating and designing photovoltaic systems. The single-diode, double-diode, and three-diode models represent these systems. Parameter estimation can be viewed as an optimization problem to minimize the difference between measured and estimated data. This study presents PV parameter estimation using the enhanced Sinh Cosh Optimizer (I_SCHO), incorporating trigonometric operators from the Sine Cosine Algorithm (SCA). This integration improves the algorithm’s ability to navigate complex search spaces, avoid local optima, and expedite convergence. Assessment criteria include runtime, convergence behaviour, minimum RMSE, and system reliability measured by SD. Results show that I_SCHO consistently delivers superior accuracy and reliability compared to other methods. Experiments were conducted on five solar cells: RTC France, Photowatt-PWP201, Kyocera KC200GT, Ultra 85-P, and STM6-40/36 module. The study also includes a comparative analysis using state-of-the-art algorithms, demonstrating I_SCHO’s efficiency through RMSE, Power Voltage (P-V) and Current Voltage (I-V) curves.https://doi.org/10.1038/s41598-025-85841-2Sinh Cosh optimizer (SCHO)Trigonometric operatorsSolar energyPV parameter estimationSingle diode modelDouble diode model |
| spellingShingle | Ala Saleh Alluhaidan Diaa Salama AbdElminaam Taraggy M. Ghanim Sahar A. El-Rahman Ibrahim Shawky Farahat Arar Al Tawil Yasmin Alkady Walaa H. Elashmawi Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators Scientific Reports Sinh Cosh optimizer (SCHO) Trigonometric operators Solar energy PV parameter estimation Single diode model Double diode model |
| title | Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators |
| title_full | Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators |
| title_fullStr | Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators |
| title_full_unstemmed | Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators |
| title_short | Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators |
| title_sort | refined photovoltaic parameters estimation via an improved sinh cosh optimizer with trigonometric operators |
| topic | Sinh Cosh optimizer (SCHO) Trigonometric operators Solar energy PV parameter estimation Single diode model Double diode model |
| url | https://doi.org/10.1038/s41598-025-85841-2 |
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