Parameters estimation of solar photovoltaic module using camel behavior search algorithm

Finding accurate mathematical model of electrical equivalent circuit solar photovoltaic (PV) cell is crucial to achieve and improve maximum power point, simulation design efficiency computations for energy system. Due the nonlinearity characteristic PV cell, optimization methods are best estimating parameters which lead I-V curve. In this paper, camel behavior search algorithm proposed as a new method five different single diode module. This tested on multicrystalline KC 200GT A measurement data module used verify test consistency accurately set that govern characteristics relationship cell. The results show current-voltage power-voltage curve obtained matching measured experimental set. For performance evaluation, simple, fast in convergence response has an acceptable accuracy obtaining estimated parameters.