Title :
Comparative Analysis of Different Single-Diode PV Modeling Methods
Author :
Shongwe, Samkeliso ; Hanif, Moin
Author_Institution :
Dept. of Electr. Eng., Univ. of Cape Town, Cape Town, South Africa
Abstract :
Modeling of photovoltaic (PV) systems is essential for the designers of solar generation plants to do a yield analysis that accurately predicts the expected power output under changing environmental conditions. This paper presents a comparative analysis of PV module modeling methods based on the single-diode model with series and shunt resistances. Parameter estimation techniques within a modeling method are used to estimate the five unknown parameters in the single diode model. Two sets of estimated parameters were used to plot the I-V characteristics of two PV modules, i.e., SQ80 and KC200GT, for the different sets of modeling equations, which are classified into models 1 to 5 in this study. Each model is based on the different combinations of diode saturation current and photogenerated current plotted under varying irradiance and temperature. Modeling was done using MATLAB/Simulink software, and the results from each model were first verified for correctness against the results produced by their respective authors. Then, a comparison was made among the different models (models 1 to 5) with respect to experimentally measured and datasheet I-V curves. The resultant plots were used to draw conclusions on which combination of parameter estimation technique and modeling method best emulates the manufacturer specified characteristics.
Keywords :
electrical resistivity; photoconductivity; solar cells; I-V characteristics; KC200GT module; MATLAB-Simulink software; SQ80 module; diode saturation current; parameter estimation; photogenerated current; photovoltaic systems; series resistance; shunt resistance; single-diode PV modeling methods; solar generation plants; Equations; Mathematical model; Parameter estimation; Resistance; Solar power generation; Temperature; Temperature measurement; Modeling; one-diode model; parameter estimation; photovoltaic (PV) model; renewable energy;
Journal_Title :
Photovoltaics, IEEE Journal of
DOI :
10.1109/JPHOTOV.2015.2395137