Photovoltaic Sensitivity Analysis of Double-Diode Model
Abstract
Photovoltaic energy is being widely used due to its numerous benefits. To promote greater system efficiency, model-based studies must be implemented. The double-diode model is one of the most commonly used and was applied in this work through sensitivity analysis and parameter estimation using the Mean-Variance Mapping Optimization algorithm to investigate which parameters have the greatest or least impact on the model. The results show that the diode reverse saturation current of diode 1 is the parameter with the greatest impact on the model. At the same time, the shunt resistance is the parameter with the least impact and, therefore, the most difficult to estimate.
Keywords
Photovoltaic modeling, double-diode model, sensitivity analysis, parameter estimation