A Comparative Study of Analytical Methods And Optimization Techniques Used for Parameter Extraction of A Solar Cell Model

Abstract

The accuracy of the model parameters of a solar cell model is crucial for forecasting power generation, fault diagnosis and system optimization in solar power generation systems. In this paper, we present a comparative study of analytical methods and optimization techniques (specifically, fminsearch and curve fitting in MATLAB) used to determine the unknown parameters of a solar cell model. In the proposed technique, we found the initial guess of these parameters using the analytical methods, reported in the literature. These initial values were refined using fminsearch optimizer in MATLAB and compared with the results obtained by fitting the curves. Comparison results are presented to validate the effectiveness of the proposed technique for parameter extraction.