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An efficient datasheet-based parameters extraction method for two-diode photovoltaic cell and cells model

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  • Meng, Zhuo
  • Zhao, Yiman
  • Tang, Shiqing
  • Sun, Yize

Abstract

This paper proposes an efficient parameters extraction method for the two-diode model of photovoltaic cell and cells. Based on the data at standard test conditions provided by the photovoltaic datasheets, the parameters are all extracted by using derivative method at maximum power point and mountain-climbing algorithm, then the proposed two-diode model of the current voltage characteristic I–V of photovoltaic cell and cells are obtained. Compared with the popular Rp model and Ishaque’s two-diode model, The proposed two-diode model show that the accuracy is significantly higher than Rp model all the time, especially at the maximum power point. In addition, the parameters at different irradiance level and temperature are extracted, which also can simulate the current voltage characteristic I–V successfully at any condition, compared with experimental data.

Suggested Citation

  • Meng, Zhuo & Zhao, Yiman & Tang, Shiqing & Sun, Yize, 2020. "An efficient datasheet-based parameters extraction method for two-diode photovoltaic cell and cells model," Renewable Energy, Elsevier, vol. 153(C), pages 1174-1182.
    • Handle: RePEc:eee:renene:v:153:y:2020:i:c:p:1174-1182
    DOI: 10.1016/j.renene.2020.02.084
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    References listed on IDEAS

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    1. Bana, Sangram & Saini, R.P., 2017. "Identification of unknown parameters of a single diode photovoltaic model using particle swarm optimization with binary constraints," Renewable Energy, Elsevier, vol. 101(C), pages 1299-1310.
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    Cited by:

    1. Herez, Amal & El Hage, Hicham & Lemenand, Thierry & Ramadan, Mohamad & Khaled, Mahmoud, 2021. "Parabolic trough photovoltaic/thermal hybrid system: Thermal modeling and parametric analysis," Renewable Energy, Elsevier, vol. 165(P1), pages 224-236.
    2. Sairam, Seshapalli & Seshadhri, Subathra & Marafioti, Giancarlo & Srinivasan, Seshadhri & Mathisen, Geir & Bekiroglu, Korkut, 2022. "Edge-based Explainable Fault Detection Systems for photovoltaic panels on edge nodes," Renewable Energy, Elsevier, vol. 185(C), pages 1425-1440.
    3. Long, Wen & Jiao, Jianjun & Liang, Ximing & Xu, Ming & Tang, Mingzhu & Cai, Shaohong, 2022. "Parameters estimation of photovoltaic models using a novel hybrid seagull optimization algorithm," Energy, Elsevier, vol. 249(C).

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