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Journal of Applied Mathematics
Volume 2013, Article ID 362619, 8 pages
Research Article

Parameter Estimation of Photovoltaic Models via Cuckoo Search

1Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool, L69 3BX, UK
2Xi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Suzhou Dushu Lake, HET, Jiangsu Province 215123, China

Received 27 June 2013; Accepted 11 July 2013

Academic Editor: Xin-She Yang

Copyright © 2013 Jieming Ma 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.


Since conventional methods are incapable of estimating the parameters of Photovoltaic (PV) models with high accuracy, bioinspired algorithms have attracted significant attention in the last decade. Cuckoo Search (CS) is invented based on the inspiration of brood parasitic behavior of some cuckoo species in combination with the Lévy flight behavior. In this paper, a CS-based parameter estimation method is proposed to extract the parameters of single-diode models for commercial PV generators. Simulation results and experimental data show that the CS algorithm is capable of obtaining all the parameters with extremely high accuracy, depicted by a low Root-Mean-Squared-Error (RMSE) value. The proposed method outperforms other algorithms applied in this study.