An Extraction Method of Solar Cell Parameters with Improved Particle Swarm Optimization
This paper presents an approach for determining the solar cell model parameters from current-voltage (I –V) characteristics using improved particle swarm optimization (IPSO). The performance of the proposed approach was compared with the popular genetic algorithm (GA) in terms of the objective function values. The validity of the approach has been confirmed with a set of experimental I –V data. It was demonstrated that the experimental I –V data and the I –V curve processed by the IPSO approach were very close. A low objective function value can be obtained by the IPSO approach. So the IPSO outperforms the GA in solving the parameter extraction problem of solar cell model.
Meiying Ye Siqin Zeng Yousheng Xu
Department of Physics, Zhejiang Normal University, Jinhua 321004, P.R.China
国际会议
China Semiconductor Technology International Conference 2010(中国国际半导体技术大会 CSTIC)
上海
英文
1099-1104
2010-03-18（万方平台首次上网日期，不代表论文的发表时间）