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Q3 2024

Enhancing Photovoltaic Array Performance through Optimizing Power during Mismatch Conditions under Series-parallel (SP) and Total Cross-Tied (TCT) Configurations

Lahlou Abad · Salah Tamalouzt · Kamel Djermouni · Karim Fathi Sayeh
10.54966/jreen.v1i1.1176 381 Views 0 Citations
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Abstract

Photovoltaic (PV) systems, harnessed from the sun's energy, serve as a vital component in the global shift towards sustainable energy sources. This paper presents a comprehensive investigation into the performance optimization of PV arrays operating under mismatched conditions, examining both Series-Parallel (SP) and Total Cross-Tied (TCT) configurations. The study explores the influence of variations in series and parallel resistances within PV modules on power generation. Two Maximum Power Point Tracking (MPPT) techniques are employed to enhance system efficiency. Our research unequivocally demonstrates the superiority of the TCT configuration, yielding a remarkable 28-watt advantage over the SP configuration when subjected to internal resistance changes. Additionally, the application of fuzzy logic-based MPPT exhibits exceptional responsiveness, surpassing the conventional Perturb and Observe (P&O) approach. These findings emphasize the pivotal role of system configuration and control strategies in optimizing PV array performance under varying operational conditions. This study contributes valuable insights to advance the harnessing of solar energy and underscores the significance of configuration and control methodologies in maximizing power output from PV systems

Cite this Article (APA)
Lahlou, A., Salah, T., Kamel, D., Karim, F. S. (2024). Enhancing Photovoltaic Array Performance through Optimizing Power during Mismatch Conditions under Series-parallel (SP) and Total Cross-Tied (TCT) Configurations. Journal of Renewable Energies. https://doi.org/10.54966/jreen.v1i1.1176
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Published in
ISSN 1112-2242
Quartile Q3
AMS Score 84
Field Engineering & Technology
Publisher Renewable Energy Development Center
Country 🇩🇿 Algeria
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Authors
Publication Details
Year 2024
Language English
Added 01 Aug 2026