Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
Introduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearl...
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| Format: | Article |
| Language: | English |
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National Technical University "Kharkiv Polytechnic Institute"
2021-12-01
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| Series: | Electrical engineering & Electromechanics |
| Subjects: | |
| Online Access: | http://eie.khpi.edu.ua/article/view/245867 |
| _version_ | 1818903722895343616 |
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| author | F. Akbar T. Mehmood K. Sadiq M.F. Ullah |
| author_facet | F. Akbar T. Mehmood K. Sadiq M.F. Ullah |
| author_sort | F. Akbar |
| collection | DOAJ |
| description | Introduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearly realistic curves for the solar cell model it is needed to estimate unknown parameters with utmost precision. The five unknown parameters include diode-ideality factor, shunt-resistance, photon-current, diode dark saturation current, and series-resistance. Novelty. The proposed research method hybridizes flower pollination algorithm with least square method to better estimate the unknown parameters, and produce more realistic curves. Methodology. The proposed method shows many promising results that are more realistic in nature, as compared to other methods. Shunt-resistance and series-resistance are considered and diode constant is not neglected in this approach that previously has been in practice. The values of series-resistance and diode-ideality factor are found using flower pollination algorithm while shunt-resistance, diode dark saturation current and photon-current are found through least square method. Results. The combination of these techniques has achieved better results compared to other techniques. The simulation studies are carried on MATLAB/Simulink. |
| first_indexed | 2024-12-19T20:56:04Z |
| format | Article |
| id | doaj.art-658ac22112d843539b0358bbc647a6f8 |
| institution | Directory Open Access Journal |
| issn | 2074-272X 2309-3404 |
| language | English |
| last_indexed | 2024-12-19T20:56:04Z |
| publishDate | 2021-12-01 |
| publisher | National Technical University "Kharkiv Polytechnic Institute" |
| record_format | Article |
| series | Electrical engineering & Electromechanics |
| spelling | doaj.art-658ac22112d843539b0358bbc647a6f82022-12-21T20:05:57ZengNational Technical University "Kharkiv Polytechnic Institute"Electrical engineering & Electromechanics2074-272X2309-34042021-12-01610.20998/2074-272X.2021.6.07Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditionsF. Akbar0T. Mehmood1K. Sadiq2M.F. Ullah3University of Engineering and TechnologyUniversity of Engineering and TechnologyUniversity of Engineering and TechnologyWah Engineering College, University of WahIntroduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearly realistic curves for the solar cell model it is needed to estimate unknown parameters with utmost precision. The five unknown parameters include diode-ideality factor, shunt-resistance, photon-current, diode dark saturation current, and series-resistance. Novelty. The proposed research method hybridizes flower pollination algorithm with least square method to better estimate the unknown parameters, and produce more realistic curves. Methodology. The proposed method shows many promising results that are more realistic in nature, as compared to other methods. Shunt-resistance and series-resistance are considered and diode constant is not neglected in this approach that previously has been in practice. The values of series-resistance and diode-ideality factor are found using flower pollination algorithm while shunt-resistance, diode dark saturation current and photon-current are found through least square method. Results. The combination of these techniques has achieved better results compared to other techniques. The simulation studies are carried on MATLAB/Simulink.http://eie.khpi.edu.ua/article/view/245867maximum power pointmaximum power point errorgenetic algorithmflower pollination algorithm |
| spellingShingle | F. Akbar T. Mehmood K. Sadiq M.F. Ullah Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions Electrical engineering & Electromechanics maximum power point maximum power point error genetic algorithm flower pollination algorithm |
| title | Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions |
| title_full | Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions |
| title_fullStr | Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions |
| title_full_unstemmed | Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions |
| title_short | Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions |
| title_sort | optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions |
| topic | maximum power point maximum power point error genetic algorithm flower pollination algorithm |
| url | http://eie.khpi.edu.ua/article/view/245867 |
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