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An improved approach to extract the single-diode equivalent circuit parameters of a photovoltaic cell/panel

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  • Lineykin, Simon
  • Averbukh, Moshe
  • Kuperman, Alon

Abstract

The paper offers a novel approach to parameter estimation of a single-diode solar cell/panel equivalent circuit, based on analysis of either technical characteristics supplied by the manufacturer or user-obtained experimental I–V curve. The derived model allows predicting the solar cell/panel output for arbitrary environmental conditions. The method combines a solution of an algebraic equations system with an optimization algorithm. The main advantage of the proposed method is that in order to obtain the required parameters of the model, minimal set of experimental data is required. In order to validate the feasibility of the proposed approach, several solar panels of different types from several manufacturers were analyzed. The results demonstrate 0.1–0.5% estimation precision when the Standard Operation Conditions data from the manufacturers' datasheets are employed.

Suggested Citation

  • Lineykin, Simon & Averbukh, Moshe & Kuperman, Alon, 2014. "An improved approach to extract the single-diode equivalent circuit parameters of a photovoltaic cell/panel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 282-289.
    • Handle: RePEc:eee:rensus:v:30:y:2014:i:c:p:282-289
    DOI: 10.1016/j.rser.2013.10.015
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    References listed on IDEAS

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    1. Jiang, Lian Lian & Maskell, Douglas L. & Patra, Jagdish C., 2013. "Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm," Applied Energy, Elsevier, vol. 112(C), pages 185-193.
    2. AlHajri, M.F. & El-Naggar, K.M. & AlRashidi, M.R. & Al-Othman, A.K., 2012. "Optimal extraction of solar cell parameters using pattern search," Renewable Energy, Elsevier, vol. 44(C), pages 238-245.
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    Cited by:

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    18. Kolesnik, Sergei & Sitbon, Moshe & Gadelovits, Shlomo & Suntio, Teuvo & Kuperman, Alon, 2015. "Interfacing renewable energy sources for maximum power transfer—Part II: Dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1771-1783.
    19. Abbassi, Rabeh & Abbassi, Abdelkader & Jemli, Mohamed & Chebbi, Souad, 2018. "Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 453-474.
    20. Kichou, Sofiane & Silvestre, Santiago & Guglielminotti, Letizia & Mora-López, Llanos & Muñoz-Cerón, Emilio, 2016. "Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification," Renewable Energy, Elsevier, vol. 99(C), pages 270-279.
    21. Senturk, A. & Eke, R., 2017. "A new method to simulate photovoltaic performance of crystalline silicon photovoltaic modules based on datasheet values," Renewable Energy, Elsevier, vol. 103(C), pages 58-69.
    22. Alon Kuperman & Moshe Sitbon & Shlomo Gadelovits & Moshe Averbukh & Teuvo Suntio, 2015. "Single-Source Multi-Battery Solar Charger: Analysis and Stability Issues," Energies, MDPI, vol. 8(7), pages 1-24, June.
    23. Khan, Firoz & Al-Ahmed, Amir & Al-Sulaiman, Fahad A., 2021. "Critical analysis of the limitations and validity of the assumptions with the analytical methods commonly used to determine the photovoltaic cell parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    24. Gulkowski, Slawomir & Muñoz Diez, José Vicente & Aguilera Tejero, Jorge & Nofuentes, Gustavo, 2019. "Computational modeling and experimental analysis of heterojunction with intrinsic thin-layer photovoltaic module under different environmental conditions," Energy, Elsevier, vol. 172(C), pages 380-390.
    25. Kermadi, Mostefa & Berkouk, El Madjid, 2017. "Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 369-386.

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