An Improved Flower Pollination Algorithm based Modelling Method of Photovoltaic Modules

Abstract

In recent years, with the acceleration of the global carbon emission reduction process, the sustainable development of clean energy has become the leading role, and the photovoltaic (PV) market has ushered in a hotter market. For accurately estimating the power generation of PV modules under different weather conditions, the modeling of solar cells or PV modules is very important. However, the conventional optimization algorithms cannot satisfy the accuracy of identification of the five parameters in the single diode model. In this paper, an improved FPA is proposed to estimate the five model parameters of the PV modules. In the proposed algorithm, the FPA is improved by considering different updating methods of solution for each pollen, with or without Levy flight. Experimental results validate that the proposed improved FPA can accurately identify the five model parameters and satisfy the modeling demands of PV arrays in engineering applications.