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A Novel High Accuracy PV Cell Model Including Self Heating and Parameter Variation

Author

Listed:
  • Aurel Gontean

    (Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania)

  • Septimiu Lica

    (Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania)

  • Szilard Bularka

    (Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania)

  • Roland Szabo

    (Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania)

  • Dan Lascu

    (Applied Electronics Department, Politehnica University Timisoara, Timisoara 300006, Romania)

Abstract

This paper proposes a novel model for a PV cell with parameters variance dependency on temperature and irradiance included. The model relies on commercial available data, calculates the cell parameters for standard conditions and then extrapolates them for the whole operating range. An up-to-date review of the PV modeling is also included with series and parallel parasitic resistance values and dependencies discussed. The parameters variance is analyzed and included in the proposed PV model, where the self-heating phenomenon is also considered. Each parameter variance is compared to the results from different authors. The model includes only standard components and can be run on any SPICE-based simulator. Unlike other approaches that consider the internal temperature as a parameter, our proposal relies on air temperature as an input and computes the actual internal temperature accordingly. Finally, the model is validated via experiments and comparisons to similar approaches are provided.

Suggested Citation

  • Aurel Gontean & Septimiu Lica & Szilard Bularka & Roland Szabo & Dan Lascu, 2017. "A Novel High Accuracy PV Cell Model Including Self Heating and Parameter Variation," Energies, MDPI, vol. 11(1), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:11:y:2017:i:1:p:36-:d:124251
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    References listed on IDEAS

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    Cited by:

    1. Santiago Pindado & Javier Cubas & Elena Roibás-Millán & Francisco Bugallo-Siegel & Félix Sorribes-Palmer, 2018. "Assessment of Explicit Models for Different Photovoltaic Technologies," Energies, MDPI, vol. 11(6), pages 1-22, May.

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