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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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    Cited by:

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    2. Yunhan Ma & Jingxian Liu & Junkai Huang & Wanling Deng, 2022. "An Analytical Algorithm for Extracting Model Parameters in a Lumped-Parameter Equivalent Circuit of Solar Cells," Energies, MDPI, vol. 15(6), pages 1-13, March.
    3. Peñaranda Chenche, Luz Elena & Hernandez Mendoza, Oscar Saul & Bandarra Filho, Enio Pedone, 2018. "Comparison of four methods for parameter estimation of mono- and multi-junction photovoltaic devices using experimental data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2823-2838.
    4. Shi, Nan & Lv, Yanling & Zhang, Yuchen & Zhu, Xianhui, 2023. "Linear fitting Rule of I–V characteristics of thin-film cells based on Bezier function," Energy, Elsevier, vol. 278(PB).
    5. 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).
    6. 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.
    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. 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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