An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique
In the field of renewable energy, the extraction of parameters for solar photovoltaic (PV) cells is a widely studied area of research. Parameter extraction of solar PV cell is a highly non-linear complex optimization problem. In this research work, the authors have explored grey wolf optimization (G...
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Ram Arti Publishers
2021-06-01
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| Series: | International Journal of Mathematical, Engineering and Management Sciences |
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| Online Access: | https://www.ijmems.in/cms/storage/app/public/uploads/volumes/54-IJMEMS-20-146-6-3-911-931-2021.pdf |
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| author | Abhishek Sharma Abhinav Sharma Averbukh Moshe Nikhil Raj Rupendra Kumar Pachauri |
| author_facet | Abhishek Sharma Abhinav Sharma Averbukh Moshe Nikhil Raj Rupendra Kumar Pachauri |
| author_sort | Abhishek Sharma |
| collection | DOAJ |
| description | In the field of renewable energy, the extraction of parameters for solar photovoltaic (PV) cells is a widely studied area of research. Parameter extraction of solar PV cell is a highly non-linear complex optimization problem. In this research work, the authors have explored grey wolf optimization (GWO) algorithm to estimate the optimized value of the unknown parameters of a PV cell. The simulation results have been compared with five different pre-existing optimization algorithms: gravitational search algorithm (GSA), a hybrid of particle swarm optimization and gravitational search algorithm (PSOGSA), sine cosine (SCA), chicken swarm optimization (CSO) and cultural algorithm (CA). Furthermore, a comparison with the algorithms existing in the literature is also carried out. The comparative results comprehensively demonstrate that GWO outperforms the existing optimization algorithms in terms of root mean square error (RMSE) and the rate of convergence. Furthermore, the statistical results validate and indicate that GWO algorithm is better than other algorithms in terms of average accuracy and robustness. An extensive comparison of electrical performance parameters: maximum current, voltage, power, and fill factor (FF) has been carried out for both PV model. |
| first_indexed | 2024-04-13T15:38:11Z |
| format | Article |
| id | doaj.art-ded897339bd94f339b6ad670b709cd9b |
| institution | Directory Open Access Journal |
| issn | 2455-7749 |
| language | English |
| last_indexed | 2024-04-13T15:38:11Z |
| publishDate | 2021-06-01 |
| publisher | Ram Arti Publishers |
| record_format | Article |
| series | International Journal of Mathematical, Engineering and Management Sciences |
| spelling | doaj.art-ded897339bd94f339b6ad670b709cd9b2022-12-22T02:41:13ZengRam Arti PublishersInternational Journal of Mathematical, Engineering and Management Sciences2455-77492021-06-0163911931https://doi.org/10.33889/IJMEMS.2021.6.3.054An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization TechniqueAbhishek Sharma0Abhinav Sharma1Averbukh Moshe2Nikhil Raj3Rupendra Kumar Pachauri4Research and Development Department, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.Department of Electrical and Electronics Engineering, Ariel University, Ariel, Israel.Research and Development Department, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India.In the field of renewable energy, the extraction of parameters for solar photovoltaic (PV) cells is a widely studied area of research. Parameter extraction of solar PV cell is a highly non-linear complex optimization problem. In this research work, the authors have explored grey wolf optimization (GWO) algorithm to estimate the optimized value of the unknown parameters of a PV cell. The simulation results have been compared with five different pre-existing optimization algorithms: gravitational search algorithm (GSA), a hybrid of particle swarm optimization and gravitational search algorithm (PSOGSA), sine cosine (SCA), chicken swarm optimization (CSO) and cultural algorithm (CA). Furthermore, a comparison with the algorithms existing in the literature is also carried out. The comparative results comprehensively demonstrate that GWO outperforms the existing optimization algorithms in terms of root mean square error (RMSE) and the rate of convergence. Furthermore, the statistical results validate and indicate that GWO algorithm is better than other algorithms in terms of average accuracy and robustness. An extensive comparison of electrical performance parameters: maximum current, voltage, power, and fill factor (FF) has been carried out for both PV model.https://www.ijmems.in/cms/storage/app/public/uploads/volumes/54-IJMEMS-20-146-6-3-911-931-2021.pdfphotovoltaicgwoparameter extractionsingle-diode modeldouble-diode model |
| spellingShingle | Abhishek Sharma Abhinav Sharma Averbukh Moshe Nikhil Raj Rupendra Kumar Pachauri An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique International Journal of Mathematical, Engineering and Management Sciences photovoltaic gwo parameter extraction single-diode model double-diode model |
| title | An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique |
| title_full | An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique |
| title_fullStr | An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique |
| title_full_unstemmed | An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique |
| title_short | An Effective Method for Parameter Estimation of Solar PV Cell Using Grey-Wolf Optimization Technique |
| title_sort | effective method for parameter estimation of solar pv cell using grey wolf optimization technique |
| topic | photovoltaic gwo parameter extraction single-diode model double-diode model |
| url | https://www.ijmems.in/cms/storage/app/public/uploads/volumes/54-IJMEMS-20-146-6-3-911-931-2021.pdf |
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