Squirrel search algorithm applied to effective estimation of solar PV model parameters: a real-world practice
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Dosyalar
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Model parameters estimation of solar photovoltaic (PV) cells/modules using real current–voltage (I–V) data is a critical task for the performance of PV systems. Therefore, there is a necessity to procure optimal parameters of PV models using proper optimization techniques. For this aim, squirrel search algorithm (SSA) as the recent and powerful tool is employed to accomplish the mentioned task in the single-diode model (SDM) and double-diode model (DDM) of a PV unit. Of course, better parameter values can be obtained by reducing the error between the experimental and model-based estimated data. Analyses are performed under two case studies. The former considers a standard dataset of R.T.C. France silicon solar cell, whereas the latter uses an experimental dataset of a polycrystalline CS6P-220P solar module. The I-V data of this PV module were acquired when it worked under 30 °C and solar radiance of 1000W/m2 at the Engineering Faculty Campus of Düzce University, Turkey. The results of the first case study are compared with those of other prevalent approaches, which demonstrate the superiority of SSA over its competing peers. Moreover, SSA is found to handle the model parameters definition of an industrial PV module located at the university campus. Thus, the new method offers a practical tool beneficial to boost the effectiveness of PV systems. © 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
Açıklama
Anahtar Kelimeler
Double-diode model, I–V characteristic, Parameter estimation, Single-diode model, Solar PV unit, Squirrel search algorithm, Diodes, Learning algorithms, Silicon solar cells, Solar panels, Solar power generation, Space division multiple access, Diode modeling, Double-diode model, I–V characteristic, Parameters estimation, Photovoltaic model, Search Algorithms, Single-diode models, Solar photovoltaic units, Solar photovoltaics, Squirrel search algorithm, Parameter estimation
Kaynak
Neural Computing and Applications
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
