Publication: Modeling and Performance Evaluation of Solar Cells Using I-V Curve Analysis
Date
2023
Authors
Hasan A.A.Q.
Alkahtani A.A.
Amin N.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
The global photovoltaic (PV) capacity has expanded considerably, especially in buildings�and power plants that are stand-alone or�grid-connected PV systems. Further research into fault detection is required to identify various faults on different PV levels to keep the PV systems working at optimal efficiency.�We provide a Simulink model of a single solar cell for estimating the current�voltage (I-V) properties of a real solar cell. The advantages and limitations of using the I-V curve as a diagnostic tool for PV system faults are discussed. In addition, the impact of series and shunt resistances on solar cell performance is highlighted and linked to related defects and degradation. Results of the proposed solar cell model confirmed its ability to mimic the real solar cell I-V curve with a very small percentage of error, around 1%. Furthermore, FF revealed the highest percentage of error of 1.2% due to the additional wire losses in real solar cell. Thus, the proposed solar cell model could be implemented to investigate degradations that have complex I-V curve behavior and improve the PV faults� monitoring systems. � 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Description
Keywords
MATLAB/Simulink , Parasitic resistance , PV degradations , PV faults , Solar cell performance , Fault detection , Cell model , I - V curve , MATLAB/ SIMULINK , Parasitic resistances , Photovoltaic degradation , Photovoltaic fault , Photovoltaic systems , Photovoltaics , Solar cell performance , Solar cells