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Improved Arithmetic Optimization Algorithm for Parameters Extraction of Photovoltaic Solar Cell Single-Diode Model

  • Research Article-Computer Engineering and Computer Science
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Abstract

The accurate model of the solar PV system is the principal organ that describes the performance of this resource. Several approaches based on optimizing algorithms were considered valuable tools to illustrate the I–V curve for improving the photovoltaic models. Their electrical parameters are estimated using optimization algorithms referring to the experimental database or manufacturer's datasheet. This paper proposes a novel developed a photovoltaic model based on improved arithmetic optimization algorithm (IAOA) to extract the solar cell parameters. Also, an experimental test bench is presented for obtaining the measured illustration of the I–V characteristics. Thus, the root mean square error value that describes the difference between measured and estimated results is considered the objective function for two different models, the simple-diode model and the one-diode model. The proposed IAOA results are compared with other research papers and optimization algorithms. Furthermore, the evaluation of the proposed IAOA has been discussed considering several statistical analysis tests. The presented results show that the effectiveness and accuracy of IAOA results are excellent, and their I–V characteristics coincide with experimental data. Moreover, the results obtained by the proposed algorithm show its high superiority in optimizing the solar cell parameters under a variety of operating conditions.

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Acknowledgements

Research Deanship has funded this research in the University of Ha'il–Saudi Arabia through project number # RG-21 139.

This study was financially supported via a funding grant by Deanship of Scientific Research, Taif University Researchers Supporting Project number (TURSP-2020/300), Taif University, Taif, Saudi Arabia.

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Authors and Affiliations

  1. Institute of Applied Sciences and Technology of Kasserine (ISSATKas), University of Kairouan, PO Box 471, 1200, Kasserine, Tunisia

    Abdelkader Abbassi

  2. Research Laboratory On Smart Electricity and ICT, Notional Engineering School of Carthage, University of Carthage, Tunis, Tunisia

    Rached Ben Mehrez

  3. High Institute of Industrial Systems of Gabes (ISSIG), MACS LR16ES22, University of Gabes, 6072, Gabes, Tunisia

    Yemna Bensalem

  4. Department of Electrical Engineering, College of Engineering, University of Hail, PO Box 2440, Hail, Saudi Arabia

    Rabeh Abbassi & Mourad Kchaou

  5. Engineering Laboratory of Industrial Systems and Renewable Energies (LISIER), University of Tunis, National Higher Engineering School of Tunis (ENSIT), 5 Avenue Taha Hussein, PO Box 56, 1008, Tunis, Tunisia

    Mohamed Jemli

  6. Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, 11953, Jordan

    Laith Abualigah

  7. School of Computer Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia

    Laith Abualigah

  8. Department of Management Information System, College of Business Administration, Taif University, P.O. BOX 11099, Taif, 21944, Saudi Arabia

    Maryam Altalhi

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  1. Abdelkader Abbassi
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Correspondence to Laith Abualigah.

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Abbassi, A., Ben Mehrez, R., Bensalem, Y. et al. Improved Arithmetic Optimization Algorithm for Parameters Extraction of Photovoltaic Solar Cell Single-Diode Model. Arab J Sci Eng 47, 10435–10451 (2022). https://doi.org/10.1007/s13369-022-06605-y

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