ESTIMATION OF THE PARAMETERS OF SOLAR CELLS
FROM CURRENT-VOLTAGE CHARACTERISTICS
USING GENETIC ALGORITHM
International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 5 (1):
25 - 32 (February 2016)Abstract
This paper presents a method for calculating the light generated current, the series resistance, shun
resistance and the two components of the reverse saturation current usually encountered in the double
diode representation of the solar cell from the experimental values of the current-voltage characteristics
of the cell using genetic algorithm. The theory is able to regenerate the above mentioned parameters to
very good accuracy when applied to cell data that was generated from pre-defined parameters. The
method is applied to various types of space quality solar cells and sub cells. All parameters except the
light generated current are seen to be nearly the same in the case of a cell whose characteristics under
illumination and in dark were analyzed. The light generated current is nearly equal to the short- circuit
current in all cases. The parameters obtained by this method and another method are nearly equal
wherever applicable. The parameters are also shown to represent the current-voltage characteristics
well.