• DocumentCode
    3544560
  • Title

    Correlating the I-V curve of solar cell with IRAGA

  • Author

    Wang, Zhiming ; Gong, Zhengbang ; Bu, Yuhong ; Wei, Guangpu

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    In order to realize the correlating of solar cell´s I-V curve, and to obtain the craftwork parameters, we do research on fitting algorithm of solar cell´s I-V curve with IRAGA. Firstly, according to the characteristics of solar cell´s mathematical model equation, it brings forward correlating with IRAGA. Secondly, we analyze the problems of IRAGA. On the basis of them, we put forward some improved methods for the coding way, the cross probability and the variance probability. Finally, we set up the object function of IRAGA to correlate the I-V curve of solar cell. And we compare it with quasi-Monte Carlo algorithm and SNTO algorithm. The experiment result shows that the computing workload is 3% less than quasi- Monte Carlo algorithm, and it is 7% less than SNTO algorithm. Meantime, it can obtain five craftwork parameters of solar cell precisely. It provides a solid theory tool to improve the performance of solar cell.
  • Keywords
    electric current; electric potential; genetic algorithms; solar cells; IRAGA algorithm; craftwork parameter; cross probability; current-voltage curve; fitting algorithm; genetic algorithm; solar cell; variance probability; Biological system modeling; Curve fitting; Educational institutions; Evolution (biology); Genetic algorithms; Instruments; Mathematical model; Monte Carlo methods; Photovoltaic cells; Solar power generation; IRAGA; curve fitting; mathematical model; solar cell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274522
  • Filename
    5274522