Water cycle algorithm for parameters estimation of solar photovoltaic model

The results of photovoltaic systems simulations using power electronics devices are affected by PV models’ accuracy; examples of photovoltaic systems such simulations are: maximum power point tracking (MPPT) of the photovoltaic systems, transient and dynamic analysis of the photovoltaic systems, and micro grid systems working of micro grid systems. The photovoltaic mathematical models depict a nonlinear I-V characteristic covering unknown parameters due to the restricted information given by PV panel’s manufacturers of the photolytic panels. This paper investigates the use of Water Cycle Algorithm (WCA); it will be the using world rivers/streams cycles. This accurate observing is a new population-based meta-heuristic optimizer. Here, WCA is simulated in MATLAB environment and applied to both single-diode model (S.D.M) and double-diode model (D.D.M) as represented. Authenticity of these proposed photovoltaic systems a model is ascertained by the simulations of the outcomes, where these simulations are implemented under different environmental conditions. Outcomes are compared to experimental results by Kyocera KC200GT PV module. The effectiveness and efficiency of proposed mathematical models are established through comparing models absolute error with respect to experimental outcomes and that of other photovoltaic systems models. The WCA can therefore be used, based on its results in developing accurate PV models.