EconPapers    
Economics at your fingertips  
 

To what extent the number of bypass diodes influence the performance of PV modules: probabilistic assessment

Hatice Gül Sezgin-Ugranlı

Renewable Energy, 2025, vol. 249, issue C

Abstract: The growing reliance on PV systems necessitates in-depth understanding of relationship between bypass diodes and probabilistic non-uniform irradiance from the perspective of global MPP. Non-uniform irradiance conditions cause the global MPP occurring at different locations on power-voltage curve. Thus, not only the power but also the probability of voltage locations is of great importance for system performance. By developing a customizable cell-based model on Simscape, current, voltage, and power probability densities are obtained under heavily to lightly non-uniform conditions. Probabilistic analyses are then performed considering different bypass diode configurations and series-connected PV modules. The voltage ranges corresponding to global MPPs are identified, and it is assessed-probabilistically-whether these MPPs occur near open-circuit or short-circuit regions, as well as how wide voltage window is. These voltages are observed to cluster in certain bands. Another important question is how voltage bands and probabilities change with shading and at which shading intensity number of bypass diodes is effective in improving performance. The threshold non-uniform irradiance is analyzed through the results obtained depending on number of bypass diodes and modules. Findings reveal that, depending on shading intensity, increasing number of bypass diodes can enhance power output by up to 113 % compared to conventional PV modules.

Keywords: Photovoltaic system; Bypass diode; Performance; Probabilistic assessment; MATLAB simscape (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096014812500905X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:249:y:2025:i:c:s096014812500905x

DOI: 10.1016/j.renene.2025.123243

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-06-17
Handle: RePEc:eee:renene:v:249:y:2025:i:c:s096014812500905x