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International Journal of Photoenergy
Volume 2016, Article ID 2174573, 16 pages
Research Article

A Population Classification Evolution Algorithm for the Parameter Extraction of Solar Cell Models

1College of Physics and Information Engineering and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou 350116, China
2Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering, Changzhou 213164, China

Received 11 May 2016; Revised 21 June 2016; Accepted 22 June 2016

Academic Editor: Tamer Khatib

Copyright © 2016 Yiqun Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Yue Wu, Zhicong Chen, Lijun Wu, Peijie Lin, Shuying Cheng, and Peimin Lu, “An Intelligent Fault Diagnosis Approach for PV Array Based on SA-RBF Kernel Extreme Learning Machine,” Energy Procedia, vol. 105, pp. 1070–1076, 2017. View at Publisher · View at Google Scholar
  • Yan Cui, Jianjun Hu, Guangyin Xu, Zhenfeng Wang, Jianhua Qu, Heng Wang, and Xiankun Gao, “Parameter extraction of solar cell models using improved shuffled complex evolution algorithm,” Energy Conversion and Management, vol. 157, pp. 460–479, 2018. View at Publisher · View at Google Scholar
  • H.G.G. Nunes, J.A.N. Pombo, S.J.P.S. Mariano, M.R.A. Calado, and J.A.M. Felippe de Souza, “A new high performance method for determining the parameters of PV cells and modules based on guaranteed convergence particle swarm optimization,” Applied Energy, vol. 211, pp. 774–791, 2018. View at Publisher · View at Google Scholar