Comparison between Cuckoo Search algorithm and Grey Wolf Optimizer Algorithm on Photovoltaic Models Performance

Solar radiation acts as one of the most significant clean energy sources, and this solar energy transforms into electricity through photovoltaic (PV) cell. Analysis of a PV cell performance is dependent on its P-V and I-V characteristics that are dependent on number of parameters which must be estimated to evaluate the simulation data aligned with the experimental data. These parameters are according to the solar cell model; five unknown's parameters for single diode model (SDM) and seven unknown's parameters for double diode model (DDM). Grey wolf (GW) and Cuckoo search (CS) optimization algorithms are offered to extract these parameters. the performance of RTC-France PV-cell is compared with the two proposed algorithms. The result approved that the CS algorithm has a superior performance when compared with GW algorithm.