Influence of shading on solar cell parameters and modelling accuracy improvement of pv modules with reverse biased solar cells

Atia, Abdulhamid ORCID: https://orcid.org/0000-0003-0683-5052, Anayi, Fatih ORCID: https://orcid.org/0000-0001-8408-7673 and Gao, Min 2022. Influence of shading on solar cell parameters and modelling accuracy improvement of pv modules with reverse biased solar cells. Energies 15 (23) , 9067. 10.3390/en15239067

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Abstract

This paper presents an experimental investigation on the influence of shading on mono-crystalline (mono-Si) solar cell parameters. The variations of equivalent circuit parameters with shading were determined and then used in modelling a mono-Si solar cell and a mono-Si photovoltaic (PV) module under partial shading. It was found that the simulation by considering the parameter variations with shading in the single cell model did not lead to a noticeable improvement in modelling accuracy. However, for the PV module, a significant improvement in modelling accuracy in the reverse bias region was achieved when considering all parameter variations in the model. A further investigation was performed to identify the key parameters that are responsible for the improvement. The results revealed that in addition to the photo-generated current, the shunt resistance also has a significant effect on the model accuracy. A modelling approach was thus proposed, which includes the variation of the shunt resistance with shading, in addition to the variation of the photo-generated current. This approach was experimentally validated using a mono-Si PV module. The results show that the proposed approach is more accurate, compared to the approach that considers only the variation of the photo-generated current, without the need to include an avalanche breakdown term.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	MDPI
ISSN:	1996-1073
Funders:	EPSRC
Date of First Compliant Deposit:	2 December 2022
Date of Acceptance:	24 November 2022
Last Modified:	28 Feb 2024 07:40
URI:	https://orca.cardiff.ac.uk/id/eprint/154626

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