Paper Info
Title
A small-signal model of a solar cell
Abstract
Starting with the experience that the output voltage and the output current of a photovoltaic panel are not pure direct current constants due to the inevitable connection to a converter (or inverter) that is working as a switching system, we came to the conclusion that interest exists for the behavior of the solar cell at the frequencies of the harmonics of the converter's switching frequency, which is subject to change according to the maximum power-point tracking. In other words, a need exists for frequency domain characterization of the solar cell, for which a linear small-signal model is necessary. To enable simulation for small signals, development of a linear reactive model was considered. Since a one-diode large-signal model already exists, it was used as a basis for the extraction of the parameters of the small-signal model. The new model was represented in the form of a parallel RC two-terminal circuit, the R and C being functions of the photocurrent (acting as a map of the illumination) and the diode voltage. Since the R and C of the model are quiescent-point dependent, their values as a function of the illumination and the diode voltages were approximated by artificial neural networks (ANNs). Separate ANNs were created for modeling R and C. To verify the model, two small-signal simulations were performed. The first one was done with the existing nonlinear model, while the second was done with the new linear model (running the ANNs). Excellent agreement was obtained.
Year
DOI
Venue
2014
10.1177/0037549714551290
Simulation
Keywords
DocType
Volume
semiconductor device modeling,time domain simulation,artificial neural networks,photovoltaic cells,frequency domain simulation
Journal
90
Issue
ISSN
Citations 
11
0037-5497
1
PageRank 
References 
Authors
0.36
1
5
Name
Order
Citations
PageRank
Miona Andrejevic Stosovic142.45
Ivan Litovski210.36
Dusko Lukac310.36
marko a dimitrijevia â431.90
Vanco B. Litovski5268.41