Optimal Parameter Extraction of Solar Cell using Classical,Nonlinear Optimization and Genetic Algorithm Method

Abstract

In this paper, another strategy based for the extraction of electrical parameters (the
immersion current, the serial resistance, the parallel resistance and the ideality element) is
proposed. The models with five and seven parameters separately are considered. The
Genetic Algorithm is utilized as an apparatus for enhancement to expand the likelihood of
achieving the worldwide least arrangements in a brief span with a decent precision taking
into account the minimization of the quadratic mistake amongst trial and hypothetical
characteristics simulation comes about demonstrate that the exactness of the heuristic
methodology is successful for displaying on account of sun based modules. Parameter is
advanced by utilizing Classical technique. Nonlinear Optimization strategy and Genetic
Algorithm technique. Then again, the outcomes were gotten after just seven eras which can
be viewed as quick for a nonlinear advancement issue with numerous physical requirements.
The outcomes demonstrate that the GA is exceptionally reasonable for evaluating electrical
parameters required for displaying the PV exhibit.