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An overview of solar photovoltaic panel modeling based on analytical and experimental viewpoint

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  • Hasan, M.A.
  • Parida, S.K.

Abstract

This paper provides a comprehensive review of available models of photovoltaic panel. Modeling and simulation of photovoltaic panel (PV) in virtual environment helps in designing and performance analysis of solar based power system. This paper analyses the currently available models from two different aspects. First aspect is based on electrical characteristics of PV panel using electrical equivalent circuit or through set of mathematical equations. The other aspect is based on the characteristics of PV panel under different environmental conditions. Environmental conditions include varying temperature and non-uniform solar irradiance due to partial shading. Varying environmental conditions causes continuous change in PV panel operating point corresponding to Maximum Power Point (MPP). Therefore an accurate PV panel model built with robust control that includes these environmental conditions will certainly improve the overall performance of the solar power plant. This paper can help researchers in selecting a specific objective based PV panel model out of several models available in literature.

Suggested Citation

  • Hasan, M.A. & Parida, S.K., 2016. "An overview of solar photovoltaic panel modeling based on analytical and experimental viewpoint," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 75-83.
    • Handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:75-83
    DOI: 10.1016/j.rser.2016.01.087
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Haidar Islam & Saad Mekhilef & Noraisyah Binti Mohamed Shah & Tey Kok Soon & Mehdi Seyedmahmousian & Ben Horan & Alex Stojcevski, 2018. "Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems," Energies, MDPI, vol. 11(2), pages 1-24, February.
    2. Amir, A. & Amir, A. & Selvaraj, J. & Rahim, N.A., 2016. "Study of the MPP tracking algorithms: Focusing the numerical method techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 350-371.
    3. Kumar, Manish & Kumar, Arun, 2017. "Performance assessment and degradation analysis of solar photovoltaic technologies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 554-587.
    4. Skoko, Sasa M. & Ciric, Rade M., 2017. "Laboratory exercises of photovoltaic systems–Review of the equpment, methodology, trials and results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 293-303.
    5. Yadav, Anurag Singh & Mukherjee, V., 2021. "Conventional and advanced PV array configurations to extract maximum power under partial shading conditions: A review," Renewable Energy, Elsevier, vol. 178(C), pages 977-1005.
    6. Sai Krishna, G. & Moger, Tukaram, 2021. "A novel adaptive dynamic photovoltaic reconfiguration system to mitigate mismatch effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    7. Gu, Xufei & Ying, Zhi & Zheng, Xiaoyuan & Dou, Binlin & Cui, Guomin, 2023. "Photovoltaic-based energy system coupled with energy storage for all-day stable PEM electrolytic hydrogen production," Renewable Energy, Elsevier, vol. 209(C), pages 53-62.
    8. Gonçalves, Juliana E. & van Hooff, Twan & Saelens, Dirk, 2021. "Simulating building integrated photovoltaic facades: Comparison to experimental data and evaluation of modelling complexity," Applied Energy, Elsevier, vol. 281(C).

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