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Squirrel search algorithm applied to effective estimation of solar PV model parameters: a real-world practice

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Abstract

Model parameters estimation of solar photovoltaic (PV) cells/modules using real current–voltage (I–V) data is a critical task for the performance of PV systems. Therefore, there is a necessity to procure optimal parameters of PV models using proper optimization techniques. For this aim, squirrel search algorithm (SSA) as the recent and powerful tool is employed to accomplish the mentioned task in the single-diode model (SDM) and double-diode model (DDM) of a PV unit. Of course, better parameter values can be obtained by reducing the error between the experimental and model-based estimated data. Analyses are performed under two case studies. The former considers a standard dataset of R.T.C. France silicon solar cell, whereas the latter uses an experimental dataset of a polycrystalline CS6P-220P solar module. The I-V data of this PV module were acquired when it worked under 30 °C and solar radiance of 1000W/m2 at the Engineering Faculty Campus of Düzce University, Turkey. The results of the first case study are compared with those of other prevalent approaches, which demonstrate the superiority of SSA over its competing peers. Moreover, SSA is found to handle the model parameters definition of an industrial PV module located at the university campus. Thus, the new method offers a practical tool beneficial to boost the effectiveness of PV systems.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Engineering Faculty, Düzce University, Düzce, Turkey

    Dinçer Maden & Emre Çelik

  2. Faculty of Computers and Information, Minia University, Minia, Egypt

    Essam H. Houssein

  3. Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg, South Africa

    Gulshan Sharma

Authors
  1. Dinçer Maden
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  2. Emre Çelik
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  3. Essam H. Houssein
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  4. Gulshan Sharma
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Contributions

DM: Conceptualization, methodology, collecting data. EÇ: Supervision, formal analysis, experimentation, software, writing–original draft preparation. EHH: Literature review, visualization, interpretation of results. GS: Literature review, writing, reviewing and proofreading.

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Correspondence to Emre Çelik.

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Appendix

Appendix

See Tables

Table 4 Experimental voltage and current data for R.T.C. France silicon solar cell
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Table 5 Experimental voltage and current data for CS6P-220P PV module
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Maden, D., Çelik, E., Houssein, E.H. et al. Squirrel search algorithm applied to effective estimation of solar PV model parameters: a real-world practice. Neural Comput & Applic 35, 13529–13546 (2023). https://doi.org/10.1007/s00521-023-08451-x

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  • DOI: https://doi.org/10.1007/s00521-023-08451-x

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