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Assessment of implicit and explicit models for different photovoltaic modules technologies

Author

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  • Boutana, N.
  • Mellit, A.
  • Lughi, V.
  • Massi Pavan, A.

Abstract

Effective use of photovoltaic (PV) modules requires reliable models for a number of applications, such as monitoring the performance of PV systems, estimating the produced power and plant design, etc. Development of accurate and simple models for different PV technologies remains a big challenge. In this paper, a comparative study of seven implicit and explicit models, published in the literature, is presented. The predicted current-voltage characteristics of the main commercial PV module technologies (multi-crystalline Silicon, Copper Indium Gallium Selenide, and Cadmium Telluride), have been compared both with the ones from the datasheet and with the ones obtained experimentally. Moreover, the investigated models have also been evaluated in terms of accuracy, required parameters, generalisation capability and complexity.

Suggested Citation

  • Boutana, N. & Mellit, A. & Lughi, V. & Massi Pavan, A., 2017. "Assessment of implicit and explicit models for different photovoltaic modules technologies," Energy, Elsevier, vol. 122(C), pages 128-143.
    • Handle: RePEc:eee:energy:v:122:y:2017:i:c:p:128-143
    DOI: 10.1016/j.energy.2017.01.073
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    References listed on IDEAS

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    Cited by:

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    5. Bradai, R. & Boukenoui, R. & Kheldoun, A. & Salhi, H. & Ghanes, M. & Barbot, J-P. & Mellit, A., 2017. "Experimental assessment of new fast MPPT algorithm for PV systems under non-uniform irradiance conditions," Applied Energy, Elsevier, vol. 199(C), pages 416-429.
    6. 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).
    7. Efstratios Batzelis, 2019. "Non-Iterative Methods for the Extraction of the Single-Diode Model Parameters of Photovoltaic Modules: A Review and Comparative Assessment," Energies, MDPI, vol. 12(3), pages 1-26, January.
    8. Kumar, Manish & Malik, Prashant & Chandel, Rahul & Chandel, Shyam Singh, 2023. "Development of a novel solar PV module model for reliable power prediction under real outdoor conditions," Renewable Energy, Elsevier, vol. 217(C).
    9. Chen, Xiang & Ding, Kun & Yang, Hang & Chen, Xihui & Zhang, Jingwei & Jiang, Meng & Gao, Ruiguang & Liu, Zengquan, 2023. "Research on real-time identification method of model parameters for the photovoltaic array," Applied Energy, Elsevier, vol. 342(C).

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