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Continuous Reconfiguration Framework for Photovoltaic Array under Variable Partial Shading Conditions: Heuristic-Based Algorithms with Optimizing Switching Operation

Author

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  • Tuyen Nguyen-Duc

    (Department of Electrical Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi 100000, Vietnam
    Department of Electrical Engineering, Shibaura Institute of Technology, Tokyo 135-8548, Japan)

  • Duong Nguyen-Dang

    (Department of Electrical Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi 100000, Vietnam)

  • Thinh Le-Viet

    (Department of Electrical Engineering, School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi 100000, Vietnam)

  • Goro Fujita

    (Department of Electrical Engineering, Shibaura Institute of Technology, Tokyo 135-8548, Japan)

Abstract

The operation of the photovoltaic (PV) system under partial shading conditions (PSC) is complicated since the output characteristic of the PV system is profoundly affected by the heterogeneous irradiance of PSC. This paper proposes a dynamic reconfiguration framework to tackle PSC in the PV array. Continuous operation of the dynamic PV array reconfiguration under cloud-induced partial shading is considered by developing an emulator of the moving cloud. In addition, the Particle Swarm Optimization and Rao algorithms are improved to obtain the optimal PV array configuration under PSC. The operation of switching is enhanced by simultaneously considering the total switching times and the operation of highly active switches. The simulation results on the 9 × 9 PV array demonstrate the effectiveness of the proposed framework in terms of reducing the number of local maximum power points on the power-voltage characteristic, enhancing power output, and relieving stress on the switching operation of the PV array under different PSC.

Suggested Citation

  • Tuyen Nguyen-Duc & Duong Nguyen-Dang & Thinh Le-Viet & Goro Fujita, 2022. "Continuous Reconfiguration Framework for Photovoltaic Array under Variable Partial Shading Conditions: Heuristic-Based Algorithms with Optimizing Switching Operation," Energies, MDPI, vol. 15(18), pages 1-25, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6821-:d:918035
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    References listed on IDEAS

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    1. Tuyen Nguyen-Duc & Huy Nguyen-Duc & Thinh Le-Viet & Hirotaka Takano, 2020. "Single-Diode Models of PV Modules: A Comparison of Conventional Approaches and Proposal of a Novel Model," Energies, MDPI, vol. 13(6), pages 1-22, March.
    2. Chen, Xiaoyang & Du, Yang & Lim, Enggee & Wen, Huiqing & Yan, Ke & Kirtley, James, 2020. "Power ramp-rates of utility-scale PV systems under passing clouds: Module-level emulation with cloud shadow modeling," Applied Energy, Elsevier, vol. 268(C).
    3. Rodrigo, P.M. & Talavera, D.L. & Fernández, E.F. & Almonacid, F.M. & Pérez-Higueras, P.J., 2019. "Optimum capacity of the inverters in concentrator photovoltaic power plants with emphasis on shading impact," Energy, Elsevier, vol. 187(C).
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