PV module parameters identification using global search algorithms

Abstract

The nonlinear behavior of photovoltaic modules (PV) and their dependence on the working conditions imply a reliable forecasting of its behavior at different temperatures and irradiance. It is therefore essential with the growing demand of this technology to develop effective methods for accurate extraction of the module intrinsic parameters. This project presents a novel approach to extract automatically and accurately the photovoltaic module single-diode model five parameters Iph, Isat, A, Rs, and Rp using the obtained Data from the acquisition circuit. The main contribution of this project is the use of different algorithms with different PV modules in order to extract highly accurate results. Six algorithms are used to estimate the five parameters of ten modules. The local algorithm uses “fsolve” to solve resulting nonlinear equations, while the six other global algorithms use their global search feature to extract parameters and draw the I-V curve.