Explicit Numerical Model of Solar Cells to Determine Current and Voltage

This paper deals with the extraction of the physical parameters of solar cells (a single diode model) from the equivalent circuit of the cell. The extraction is carried out by three different numerical methods with a comparison between them. The first and second methods are a difference of the Newton Raphson algorithm (NRM) and Aitken’s extrapolation algorithm (AEM), respectively. The roots of the nonlinear equation of this cell have been described and solved using the three methods. The proposed method is tested to solve the output voltage; current and power of this cell from the roots of this equation with the various values of load resistance RL.

[1]  Jing J. Liang,et al.  Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models , 2020 .

[2]  D. Cotfas,et al.  Application of successive discretization algorithm for determining photovoltaic cells parameters , 2019, Energy Conversion and Management.

[3]  Dina S. M. Osheba,et al.  Parameters extraction of photovoltaic sources based on experimental data , 2019, IET Renewable Power Generation.

[4]  Nicolas Barth,et al.  An adaptive modelling technique for parameters extraction of photovoltaic devices under varying sunlight and temperature conditions , 2019, Applied Energy.

[5]  R. Barillé,et al.  Characterizations and morphology of sodium tungstate particles , 2018, Royal Society Open Science.

[6]  R. Barillé,et al.  Optical constants of DC sputtering derived ITO, TiO 2 and TiO 2 :Nb thin films characterized by spectrophotometry and spectroscopic ellipsometry for optoelectronic devices , 2017, 1710.04814.

[7]  R. Barillé,et al.  Comparison the optical properties for Bi2O3 and NiO ultrathin films deposited on different substrates by DC sputtering technique for transparent electronics , 2017, 1710.04815.

[8]  R. Barillé,et al.  Room temperature deposition of ZnO and Al:ZnO ultrathin films on glass and PET substrates by DC sputtering technique , 2017, 1710.03493.

[9]  R. Barillé,et al.  AC conductivity evolution in bulk and grain boundary response of sodium tungstate Na2WO4 , 2017, Ionics.

[10]  Jae Hyun Kim,et al.  Wide range temperature dependence of analytical photovoltaic cell parameters for silicon solar cells under high illumination conditions , 2016 .

[11]  Saad Mekhilef,et al.  Solar cell parameters extraction based on single and double-diode models: A review , 2016 .

[12]  Jae Hyun Kim,et al.  Intensity dependency of photovoltaic cell parameters under high illumination conditions: An analysis , 2014 .

[13]  Erdem Cuce,et al.  Improving thermodynamic performance parameters of silicon photovoltaic cells via air cooling , 2014 .

[14]  Jae Hyun Kim,et al.  Analysis of photovoltaic cell parameters of non-vacuum solution processed Cu(In, Ga)Se2 thin film based solar cells , 2014 .

[15]  Pinar Mert Cuce,et al.  An experimental analysis of illumination intensity and temperature dependency of photovoltaic cell parameters , 2013 .