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Photovoltaic Grid-Connected Modeling and Characterization Based on Experimental Results

Author

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  • Ali M Humada
  • Mojgan Hojabri
  • Mohd Herwan Bin Sulaiman
  • Hussein M Hamada
  • Mushtaq N Ahmed

Abstract

A grid-connected photovoltaic (PV) system operates under fluctuated weather condition has been modeled and characterized based on specific test bed. A mathematical model of a small-scale PV system has been developed mainly for residential usage, and the potential results have been simulated. The proposed PV model based on three PV parameters, which are the photocurrent, IL, the reverse diode saturation current, Io, the ideality factor of diode, n. Accuracy of the proposed model and its parameters evaluated based on different benchmarks. The results showed that the proposed model fitting the experimental results with high accuracy compare to the other models, as well as the I-V characteristic curve. The results of this study can be considered valuable in terms of the installation of a grid-connected PV system in fluctuated climatic conditions.

Suggested Citation

  • Ali M Humada & Mojgan Hojabri & Mohd Herwan Bin Sulaiman & Hussein M Hamada & Mushtaq N Ahmed, 2016. "Photovoltaic Grid-Connected Modeling and Characterization Based on Experimental Results," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-13, April.
    • Handle: RePEc:plo:pone00:0152766
    DOI: 10.1371/journal.pone.0152766
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    Cited by:

    1. Pal, Rudra Sankar & Mukherjee, V., 2020. "Metaheuristic based comparative MPPT methods for photovoltaic technology under partial shading condition," Energy, Elsevier, vol. 212(C).
    2. Rezk, Hegazy & Fathy, Ahmed & Abdelaziz, Almoataz Y., 2017. "A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 377-386.
    3. Syed Zahurul Islam & Mohammad Lutfi Othman & Muhammad Saufi & Rosli Omar & Arash Toudeshki & Syed Zahidul Islam, 2020. "Photovoltaic modules evaluation and dry-season energy yield prediction model for NEM in Malaysia," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-25, November.
    4. T. Nagadurga & P. V. R. L. Narasimham & V. S. Vakula, 2021. "Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique," Sustainability, MDPI, vol. 13(19), pages 1-20, October.

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