Genetic algorithm based-technique for CIGS solar cell performance optimization

In this work, we investigate an optimal design of CIGS solar cell using a hybrid strategy by combining an analytical model with genetic algorithm technique. The proposed strategy takes into account the electrical and optical properties of the employed materials. Physical and geometrical parameters influences are investigated within a suitable range of variation that considers experimental and physical limits. Besides, the presented strategy not only used to examine the influence of different parameters on the device efficiency but also to captivate the optimal combination of this design parameters that leads to the best CIGS solar cell performance. The findings show that for suitable doping concentrations and thicknesses of ZnO, CdS and CIGS layers an efficiency of 14.6 % can be achieved.