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Title
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Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions
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Subject |
maximum power point, maximum power point error, genetic algorithm, flower pollination algorithm
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Author |
Mian Farhan Ullah
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Publish Year |
2021 |
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Diss#. |
https://doi.org/10.20998/2074-272X.2021.6.07 |
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Text Language |
English |
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Library Section |
Research Article |
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Abstract |
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
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