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Minimization of Losses in Solar Photovoltaic Modules by Reconfiguration under Various Patterns of Partial Shading

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  • Chayut Tubniyom

    (Department of Electrical Engineering, Faculty of Engineering Khon Kaen University, Khon Kaen 40002, Thailand)

  • Rongrit Chatthaworn

    (Department of Electrical Engineering, Faculty of Engineering Khon Kaen University, Khon Kaen 40002, Thailand)

  • Amnart Suksri

    (Department of Electrical Engineering, Faculty of Engineering Khon Kaen University, Khon Kaen 40002, Thailand
    Centre for Alternative Energy Research and Development, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Tanakorn Wongwuttanasatian

    (Centre for Alternative Energy Research and Development, Khon Kaen University, Khon Kaen 40002, Thailand
    Department of Mechanical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

Abstract

Configurations of photovoltaic (PV) modules, such as series-parallel (SP), bridge-linked (BL), and total cross-tied (TCT) configurations, always utilize a number of connecting switches. In a simulation, the ideal switch with no loss is used to optimize the reconfiguration method for a solar PV array. However, in practice, the switches are non-ideal, causing losses and resulting in a decrease in the total output power of the PV array. In this work, MATLAB/Simulink (R2016a) was employed to simulate nine PV modules linked in a 3 × 3 array, and they were reconfigured using series-parallel (SP), bridge-linked (BL), and total cross-tied (TCT) configurations for both ideal and non-ideal switch cases. It was not surprising that non-ideal switches deteriorated the output power compared with ideal cases. Then, the minimization of losses (ML) configuration was proposed by minimizing the number of switches to give the highest output power. A 5% higher power output was set as the criterion to reconfigure the PV modules when partial shading occurred. The results showed that if 50% or more of the area was partially shaded, reconfiguration was unnecessary. On the other hand, when the shaded area was less than 50%, reconfiguration gave a significant increase in power. Finally, the ML method had different configurations for various shading patterns, and provided better results than those of the TCT method.

Suggested Citation

  • Chayut Tubniyom & Rongrit Chatthaworn & Amnart Suksri & Tanakorn Wongwuttanasatian, 2018. "Minimization of Losses in Solar Photovoltaic Modules by Reconfiguration under Various Patterns of Partial Shading," Energies, MDPI, vol. 12(1), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:12:y:2018:i:1:p:24-:d:192564
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    References listed on IDEAS

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    1. Satpathy, Priya Ranjan & Sharma, Renu, 2018. "Power loss reduction in partially shaded PV arrays by a static SDP technique," Energy, Elsevier, vol. 156(C), pages 569-585.
    2. Deshkar, Shubhankar Niranjan & Dhale, Sumedh Bhaskar & Mukherjee, Jishnu Shekar & Babu, T. Sudhakar & Rajasekar, N., 2015. "Solar PV array reconfiguration under partial shading conditions for maximum power extraction using genetic algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 102-110.
    3. Tabanjat, Abdulkader & Becherif, Mohamed & Hissel, Daniel, 2015. "Reconfiguration solution for shaded PV panels using switching control," Renewable Energy, Elsevier, vol. 82(C), pages 4-13.
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    Cited by:

    1. Xiaoguang Liu & Yuefeng Wang, 2019. "Reconfiguration Method to Extract More Power from Partially Shaded Photovoltaic Arrays with Series-Parallel Topology," Energies, MDPI, vol. 12(8), pages 1-16, April.
    2. Mohammed Alkahtani & Yihua Hu & Zuyu Wu & Colin Sokol Kuka & Muflih S. Alhammad & Chen Zhang, 2020. "Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging," Energies, MDPI, vol. 13(8), pages 1-19, April.
    3. Mohammed Alkahtani & Zuyu Wu & Colin Sokol Kuka & Muflah S. Alahammad & Kai Ni, 2020. "A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-Uniformly Aged PV Arrays by Merely Repositioning," J, MDPI, vol. 3(1), pages 1-22, February.

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