LAPSE:2023.7513v1
Published Article
LAPSE:2023.7513v1
Influence of Shading on Solar Cell Parameters and Modelling Accuracy Improvement of PV Modules with Reverse Biased Solar Cells
Abdulhamid Atia, Fatih Anayi, Min Gao
February 24, 2023
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.
Keywords
equivalent circuit parameters, photovoltaic modules, shading effect, solar cells
Suggested Citation
Atia A, Anayi F, Gao M. Influence of Shading on Solar Cell Parameters and Modelling Accuracy Improvement of PV Modules with Reverse Biased Solar Cells. (2023). LAPSE:2023.7513v1
Author Affiliations
Atia A: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK [ORCID]
Anayi F: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Gao M: School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
Journal Name
Energies
Volume
15
Issue
23
First Page
9067
Year
2022
Publication Date
2022-11-30
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15239067, Publication Type: Journal Article
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LAPSE:2023.7513v1
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https://doi.org/10.3390/en15239067
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Feb 24, 2023
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