Artificial Rabbits Optimization Algorithm for PV Cell Parameter Extraction

Abstract

Solar energy is available in abundance and the energy obtained from solar is economical. The accurate Modelling of solar module is however more important before its installation. The manufacturers of Solar Panel would provide only few parameters in datasheet that which is not enough for modeling. Metaheuristics algorithms was applied and to obtain those few parameters of module. Artificial rabbits optimization has been applied to obtain the unknown parameters in 250Wp SVL0250P photovoltaic module at varying temperature and irradiance. A performance comparison is made with flower pollination, Jaya algorithm and it is found that Artificial rabbits optimization provides excellent results with respect to precision and convergence.