Parameter Estimation of Photovoltaic Models via Cuckoo Search
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 spe...
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doaj-eaf3ca844da04bcd99035f35a7d8e5ee2020-11-24T23:58:11ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/362619362619Parameter Estimation of Photovoltaic Models via Cuckoo SearchJieming Ma0T. O. Ting1Ka Lok Man2Nan Zhang3Sheng-Uei Guan4Prudence W. H. Wong5Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool, L69 3BX, UKXi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Suzhou Dushu Lake, HET, Jiangsu Province 215123, ChinaXi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Suzhou Dushu Lake, HET, Jiangsu Province 215123, ChinaXi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Suzhou Dushu Lake, HET, Jiangsu Province 215123, ChinaXi’an Jiaotong-Liverpool University, 111 Ren’ai Road, Suzhou Dushu Lake, HET, Jiangsu Province 215123, ChinaDepartment of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool, L69 3BX, UKSince 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.http://dx.doi.org/10.1155/2013/362619 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jieming Ma T. O. Ting Ka Lok Man Nan Zhang Sheng-Uei Guan Prudence W. H. Wong |
spellingShingle |
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 Journal of Applied Mathematics |
author_facet |
Jieming Ma T. O. Ting Ka Lok Man Nan Zhang Sheng-Uei Guan Prudence W. H. Wong |
author_sort |
Jieming Ma |
title |
Parameter Estimation of Photovoltaic Models via Cuckoo Search |
title_short |
Parameter Estimation of Photovoltaic Models via Cuckoo Search |
title_full |
Parameter Estimation of Photovoltaic Models via Cuckoo Search |
title_fullStr |
Parameter Estimation of Photovoltaic Models via Cuckoo Search |
title_full_unstemmed |
Parameter Estimation of Photovoltaic Models via Cuckoo Search |
title_sort |
parameter estimation of photovoltaic models via cuckoo search |
publisher |
Hindawi Limited |
series |
Journal of Applied Mathematics |
issn |
1110-757X 1687-0042 |
publishDate |
2013-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2013/362619 |
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