Characteristic Study of Solar Photovoltaic Array Under Different Partial Shading Conditions

Photovoltaic (PV) systems are frequently exposed to partial or complete shading phenomena. Partial shading has a profound impact on the performance of solar power generation. The operational performance of PV arrays under partial shading shows multiple maximum power point peaks, therefore it is chal...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.6856-6866
Main Authors: Abdulmawjood, Kais, Alsadi, Samer, Refaat, Shady S., Morsi, Walid G.
Format: Article
Language:English
Subjects:
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">P-V characteristics
Arrays
configuration
Configurations
Load modeling
Mathematical models
Maximum power
Modules
partial shading
Photovoltaic cells
Photovoltaic system
Photovoltaic systems
Shading
shading patterns
Simulation
Solar power generation
Topology
Voltage
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Summary:Photovoltaic (PV) systems are frequently exposed to partial or complete shading phenomena. Partial shading has a profound impact on the performance of solar power generation. The operational performance of PV arrays under partial shading shows multiple maximum power point peaks, therefore it is challenging to identify the actual maximum power point. This paper investigates the impact of partial shading location on the output power of solar photovoltaic arrays with various configurations. Multiple photovoltaic strings, in both parallel and series configurations, are considered. Different random shading patterns are considered and analyzed to determine which configuration has higher maximum power point. The sensitivity of the partial shading can change according to the partial shading types, shading pattern, and the configuration used to connect all PV modules. Moreover, the study also investigates the output of the PV array with shading two random models, two consecutive models, and three random and consecutive modules. Experimental results validate the analysis and demonstrate the effect of various partial shading on the eficiency and performance of the PV system.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3142168