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2013 Parameter Estimation of Photovoltaic Models via Cuckoo Search
Jieming Ma, T. O. Ting, Ka Lok Man, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong
J. Appl. Math. 2013(SI09): 1-8 (2013). DOI: 10.1155/2013/362619

Abstract

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.

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Jieming Ma. T. O. Ting. Ka Lok Man. Nan Zhang. Sheng-Uei Guan. Prudence W. H. Wong. "Parameter Estimation of Photovoltaic Models via Cuckoo Search." J. Appl. Math. 2013 (SI09) 1 - 8, 2013. https://doi.org/10.1155/2013/362619

Information

Published: 2013
First available in Project Euclid: 14 March 2014

MathSciNet: MR3090620
Digital Object Identifier: 10.1155/2013/362619

Rights: Copyright © 2013 Hindawi

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Vol.2013 • No. SI09 • 2013
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