电子元件与材料2017，Vol.36Issue(6)：20-24,5.DOI:10.14106/j.cnki.1001-2028.2017.06.004
APSO算法提取染料敏化太阳电池参数的研究
Parameter extraction of dye-sensitized solar cells using adaptive particle swarm optimization algorithm
摘要
Abstract
The output characteristic of dye-sensitized solar cell was modeled and simulated by MATLAB software,and the object function based on equivalent circuit current equation was established.The internal parameters of dye-sensitized solar cell were accurately extracted by adaptive particle swarm optimization algorithm,and the effect of weight factor strategy and population size on the parameters extraction was investigated.The relative error between the extracted values and theoretical values is within 1％.The adaptive weight factor strategy can significantly improve the searching efficiency and convergence precision of adaptive particle swarm optimization algorithm.The results of adaptive particle swarm optimization algorithm and Simplex algorithm were compared and observed to be in accord with the theoretical value.The Simplex algorithm shows great dependence on initial values.The adaptive particle swarm optimization algorithm has a higher optimization efficiency and convergence precision.关键词
染料敏化太阳电池/等效电路/APSO算法/单纯形算法/参数提取/MATLABKey words
dye-sensitized solar cell/equivalent circuit/adaptive particle swarm optimization algorithm/Simplex algorithm/parameter extraction/MATLAB分类
信息技术与安全科学引用本文复制引用
张腾,余基映,朱永丹..APSO算法提取染料敏化太阳电池参数的研究[J].电子元件与材料,2017,36(6):20-24,5.基金项目
国家自然科学基金资助项目(No.11504101) （No.11504101）
