Title :
Frequency domain characterization of a solar cell
Author :
Andrejevic Stosovic, Miona V. ; Lukac, Dusko ; Litovski, I. ; Litovski, Vanco B.
Author_Institution :
Fac. of Electron. Eng., Univ. of Nis, Niš, Serbia
Abstract :
The generation of a small signal dynamic model of a solar cell was investigated. As a starting structure the usual one diode large signal dynamic model was used with known parameter values. A simple parallel linear RC circuit was used to represent the model while the element values were put to be functions of the illumination here represented by the photo-current. The element value versus photocurrent dependences were captured by artificial neural networks one per element. Verification of the model was performed by comparisons of the responses of the original nonlinear dynamic model and the linear RC model to a chirp signal of small amplitude.
Keywords :
lighting; neural nets; power engineering computing; solar cells; artificial neural networks; chirp signal; diode large signal dynamic model; frequency domain characterization; illumination; linear RC model; nonlinear dynamic model; parallel linear RC circuit; parameter values; photo-current; small signal dynamic model; solar cell; Artificial neural networks; Capacitance; IP networks; Integrated circuit modeling; Lighting; Photoconductivity; Photovoltaic cells; Artificial neural networks; Photovoltaic cells; Semiconductor device modelling;
Conference_Titel :
Neural Network Applications in Electrical Engineering (NEUREL), 2012 11th Symposium on
Conference_Location :
Belgrade
Print_ISBN :
978-1-4673-1569-2
DOI :
10.1109/NEUREL.2012.6420031