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Brent's algorithm based new computational approach for accurate determination of single-diode model parameters to simulate solar cells and modules

Muhammadsharif, Fahmi F., Hashim, Suhairul, Hameed, Shilan S., Ghoshal, S.K., Abdullah, Isam K., Macdonald, J.E. and Yahya, Mohd Y. 2019. Brent's algorithm based new computational approach for accurate determination of single-diode model parameters to simulate solar cells and modules. Solar Energy 193 , pp. 782-798. 10.1016/j.solener.2019.09.096
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Abstract

Simulated current-voltage (I-V) characteristics of photovoltaic (PV) cells and modules are significant for the performance assessment, design and quality control, which are decided by the accurate determination of the intrinsic parameters of the devices. Commonly, a single-diode model is utilized to extract these parameters such as the ideality factor (n), series resistance (Rs), shunt resistance (Rsh), saturation current (Io) and photo-generated current (Iλ). Driven by this idea, a new mathematical manipulation was performed on the single-diode equation that yielded a non-linear formula of Rs. Later, Brent’s algorithm was used to precisely estimate Rs at every fine-tuned point of n, thereby all other parameters were determined. The set of parameters that provided the lowest root mean square error (RMSE) between the experimental and simulated I-V data were chosen to be optimum. The proposed Brent’s algorithm (BA) was shown outperform several recently reported computational and heuristic algorithms that were exploited to mine the single-diode model parameters for solar cells and modules with varied device temperatures and solar irradiation conditions.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Publisher: Elsevier
ISSN: 0038-092X
Date of First Compliant Deposit: 8 November 2019
Date of Acceptance: 30 September 2019
Last Modified: 12 Mar 2020 17:54
URI: http://orca.cf.ac.uk/id/eprint/126675

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