Influence of the nature of lamp on model parameters of PV modules operating in an indoor environment

Abstract

A growing body of research on energy harvesting has revealed the need for effective tools, models, and methods for designing indoor light harvesting systems. In general, PV modules are represented electrically by circuits which include Single Diode Models (SDM), Double Diode Models (DDM), and Triple Diode Models (TDM). PV modules' performance can be understood by appropriately determining the parameters of these models. In order to estimate these parameters, datasets are usually measured experimentally by electrically lighting PV modules or placing them under artificial light. The main goal of this study is to analyse the effects of the nature of light source and illumination level on different model parameters of PV modules. Three PV modules of same power and different cell technology are placed under three commonly used lamps at same illumination levels. The data measured under these conditions is used with the Grey Wolf Optimization algorithm to estimate different model parameters. The results indicate that different values are obtained for shunt and series resistances for the same PV module placed under different lamps and at same illumination level. These parameters are equally seen to vary differently when the illumination level is changed.