A mathematical modeling framework to evaluate the performance of single diode and double diode based SPV systems. (November 2016)

• Record Type: Journal Article
• Authors: Bana, Sangram; Saini, R.P.
• Is Part Of: Energy reports. Volume 2(2016)
• Page Start: 171
• Page End: 187
• Publication Date: 2016-11
• Subjects: Photovoltaic (PV) -- Single diode model -- Double diode model -- STC (Standard test condition) -- Modeling; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2016.06.004
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: In order to predict the performance of a PV system, a reliable and accurate simulation design of PV systems before being installed is a necessity. The present study concerns the development of single and double diode model of solar PV system and ensures the best suited model under specific environmental condition for accurate performance prediction. The information provided in the manufacturers' data sheet is not sufficient for developing a Simulink based single and double diode models of PV module. These parameters are crucial to predict accurate performance of a PV module. These parameters of the proposed solar PV models have been calculated using an efficient iterative technique. This paper compares the simulation results of both the models with manufacturer's data sheet to investigate the accuracy and validity. A MATLAB/Simulink based comparative performance analysis of these models under inconsistent atmospheric conditions and the effect of variations in model parameters has been carried out. Despite the simplicity, these models are highly sensitive and respond to a slight variation in temperature and insolation. It is observed that double diode PV model is more accurate under low intensity insolation or shading condition. The performance evaluation of the models under present study will be helpful to understand the I-V curves, which will enable us in predicting the solar PV system power production under variable input conditions.