Parameter identification of the photovoltaic cell model with a hybrid Jaya-NM algorithm

This paper proposes a hybrid computational intelligence algorithm for identifying parameters of the photovoltaic (PV) cell model. In the proposed algorithm, Jaya algorithm is applied to perform the global search while Nelder-Mead (NM) algorithm is employed to conduct the local search. The integration of Jaya and NM algorithms provide the ability to find the global optimum solution in a multidimensional optimization problem. To validate the effectiveness of the proposed Jaya-NM algorithm, current and voltage data from a commercial PV cell are utilized and the single diode model parameter are identified. The results show that the proposed algorithm outperforms recently published identification methods.