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

Main Article Content

lahlou Abad
Salah Tamalouzt
Kamel Djermouni
Karim Fathi Sayeh

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

Article Details

How to Cite
[1]
lahlou Abad, S. . Tamalouzt, K. . Djermouni, and K. F. . Sayeh, “Enhancing Photovoltaic Array Performance through Optimizing Power during Mismatch Conditions under Series-parallel (SP) and Total Cross-Tied (TCT) Configurations”, J. Ren. Energies, vol. 1, no. 1, pp. 79 -, May 2024.
Section
special

References

A. D. Dhass, N. Beemkumar, S. Harikrishnan, and H. M. Ali, “A review on factors influencing the mismatch losses in solar photovoltaic system,” Int. J. Photoenergy, vol. 2022, pp. 1–27, 2022.

J. C. Teo, R. H. Tan, V. H. Mok, V. K. Ramachandaramurthy, and C. Tan, “Impact of bypass diode forward voltage on maximum power of a photovoltaic system under partial shading conditions,” Energy, vol. 191, p. 116491, 2020.

K. Djermouni, A. Berboucha, K. Ghedamsi, and D. Aouzellag, “Optimization of a photovoltaic field during faulty and normal operation,” Sol. Energy, vol. 113, pp. 171–180, 2015.

N. Boutasseta, M. Ramdani, and S. Mekhilef, “Fault-tolerant power extraction strategy for photovoltaic energy systems,” Sol. Energy, vol. 169, pp. 594–606, 2018.

O. Bingöl and B. Özkaya, “Analysis and comparison of different PV array configurations under partial shading conditions,” Sol. Energy, vol. 160, pp. 336–343, 2018.

R. K. Pachauri et al., “Impact of partial shading on various PV array configurations and different modeling approaches: A comprehensive review,” IEEE Access, vol. 8, pp. 181375–181403, 2020.

R. Kumar and S. K. Singh, “Solar photovoltaic modeling and simulation: As a renewable energy solution,” Energy Rep., vol. 4, pp. 701–712, 2018.

S. R. Pendem and S. Mikkili, “Modeling, simulation and performance analysis of solar PV array configurations (Series, Series–Parallel and Honey-Comb) to extract maximum power under Partial Shading Conditions,” Energy Rep., vol. 4, pp. 274–287, 2018.

T. Khatib and W. Elmenreich, Modeling of Photovoltaic Systems Using MATLAB®: Simplified Green Codes, 1st ed. Wiley, 2016. doi: 10.1002/9781119118138.

T. S. Babu, D. Yousri, and K. Balasubramanian, “Photovoltaic array reconfiguration system for maximizing the harvested power using population-based algorithms,” IEEE Access, vol. 8, pp. 109608–109624, 2020.

Z. Wang, N. Zhou, L. Gong, and M. Jiang, “Quantitative estimation of mismatch losses in photovoltaic arrays under partial shading conditions,” Optik, vol. 203, p. 163950, 2020.

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