Abstract
Indoor photovoltaic (PV) application gains in attraction for low-power electronic systems, which requires accurate methods for performance predictions in indoor environments. Despite this, the knowledge on the performance of commonly used photovoltaic device models and their parameter estimation techniques in these scenarios is very limited. Accurate models are an essential tool for conducting feasibility analyses and component dimensioning for indoor photovoltaic systems. In this paper, we therefore conduct a comparison of the one- and two-diode models with parameters estimated based on two well-known methods. We evaluate the models’ performance on datasets of photovoltaic panels intended for indoor use, and illumination conditions to be expected in indoor environments lit by artificial light sources. The results demonstrate that the one-diode model outperforms the two-diode model with respect to the estimation of the overall I-V characteristics. The two-diode model results instead in lower maximum power point errors. Both models show a sensitivity to initial conditions, such as the selection of the diode ideality factor, as well as the curve form of the photovoltaic panel to be modeled, which has not been acknowledged in previous research.
Highlights
M ODELS of photovoltaic (PV) devices are an essential tool for the estimation of the devices’ I-V and PV characteristics
The result shows a clear dependency of the model’s performance on the chosen ideality factor. This dependency exists for both the MPP error (MPPE) and the normalized root mean squared error (NRMSE), the MPPE is over the entire range of n of negligible magnitude
The results in this paper demonstrate considerable differences between the performances of the two models implemented based on the selected parameter estimation techniques
Summary
M ODELS of photovoltaic (PV) devices are an essential tool for the estimation of the devices’ I-V and PV characteristics. In the majority of cases, such models are based on equivalent circuits, amongst which the one-diode and twodiode models have gained highest popularity [1]–[4]. In these models, the pn-junction behavior of the PV cells is modeled with one or two lumped diodes, and losses are considered through the inclusion of series and parallel resistances. The parameter estimation methods use data supplied by the manufacturer, or measured data, to estimate the model parameters. Their approaches can be categorized into being analytical, numerical/iterative, or metaheuristic [3], [4]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
