A fast and precise double-diode model for predicting photovoltaic panel electrical behavior in variable environmental conditions

Abstract

A precise understanding of photovoltaic output behaviour leads to better organising of investment resources and more efficient development planning. Besides under standard test conditions, the presented model can predict the output of a photovoltaic module under variable real-time situations. The proposed hybrid analytical-numerical method declined the calculation and running time while offering an acceptable predicting accuracy. Models’ predictions were validated with the information reported by the manufacturer and experimental analysis and real-time measurements. The dust impacts were also investigated. The model accuracy was compared with a single diode model under the same conditions and several other similar works. Finally, the model was used to investigate the effect of any variation in cell temperature and irradiation levels on the output of photovoltaic modules. The proposed hybrid model can be a benchmark for future studies. It can be modified and developed to foresee the electrical output of a photovoltaic system in other regions if the system specifications and weather conditions and diversities are applied accordingly.