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Frontiers in Energy Research
Article . 2023 . Peer-reviewed
License: CC BY
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Frontiers in Energy Research
Article . 2023
Data sources: DOAJ
https://dx.doi.org/10.60692/y2...
Other literature type . 2023
Data sources: Datacite
https://dx.doi.org/10.60692/w9...
Other literature type . 2023
Data sources: Datacite
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A matlab-based modelling to study and enhance the performance of photovoltaic panel configurations during partial shading conditions

نمذجة قائمة على matlab لدراسة وتعزيز أداء تكوينات الألواح الكهروضوئية أثناء ظروف التظليل الجزئي
Authors: Sadaquat Ali; Lahcen El Iysaouy; Lahcen El Iysaouy; Mhammed Lahbabi; Mhammed Lahbabi; Younes Boujoudar; Sultan J. Alharbi; +7 Authors

A matlab-based modelling to study and enhance the performance of photovoltaic panel configurations during partial shading conditions

Abstract

Introduction: The utilization of solar energy in large-scale photovoltaic arrays has gained immense popularity on a global scale. However, shadows in the array lead to significant reductions in power output and create multiple power peaks in the P-V characteristics. To address this issue, the Total Cross Tie (TCT) interconnection pattern is commonly employed to minimize mismatch loss. Additionally, physical relocation methods have proven effective in dispersing shadows.Method: In this context, the Magic Square View (MSV) offers a physical rearrangement of PV modules within a TCT scheme, effectively scattering shadows across the entire photovoltaic array.Results: Simulation results confirm the MSV efficacy in enhancing the PV array’s output power under various Partial Shading Conditions (PSCs) patterns. Four PSCs patterns (Short and Wide, Long and Wide, Long and Narrow, and Short and Narrow) are considered and compared to the TCT and the recently validated Competence Square (CS) techniques. The MSV method is vital in improving the PV array’s power output, especially when confronted with Long and Wide shading patterns. The outcomes demonstrate that adopting the MSV configuration leads to a substantial increase of 33.78% and 29.83% in power output for LW and SW shading patterns, respectively, compared to the TCT setup. Even under LN and SN shading patterns, there is a notable power enhancement, achieving a remarkable 25.15% increase for the LW shading pattern compared to the TCT, surpassing enhancements achieved by SuDoKu, DS, and CS methods, which improved by 20.5%, 18.2%, and 21.6%, respectively. Overall, the MSV configuration presents a promising solution for enhancing the performance of photovoltaic arrays under shading conditions.

Keywords

partial shading, Environmental Engineering, Photovoltaic Arrays, MPPT Techniques, PV System, Partial Shading, General Works, photovoltaic, Engineering, magic square view (MSV), Shading, A, FOS: Electrical engineering, electronic engineering, information engineering, Maximum power principle, Multijunction Solar Cell Technology, Electrical and Electronic Engineering, Photovoltaic system, Energy, Renewable Energy, Sustainability and the Environment, Computer graphics (images), FOS: Environmental engineering, competence square (CS), Photovoltaic Maximum Power Point Tracking Techniques, total cross tied (TCT), Computer science, Electrical engineering, Physical Sciences, Environmental Science, array configuration, Environmental Impacts of Solar Energy Technologies

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold