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Reconfiguration solution for shaded PV panels using switching control

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  • Tabanjat, Abdulkader
  • Becherif, Mohamed
  • Hissel, Daniel

Abstract

This paper applies a new dynamical electrical array reconfiguration strategy on photovoltaic (PV) panels arrangement based on the connection of all PV panels on two parallel groups to reach the 24 V requested by the considered load and providing a maximum output current by connecting in series the two groups. If one of the PV panels or more are shaded, dusty or faulty the connection of the others in the same group will be automatically modified to maintain the requested load output voltage. This dynamical reconfiguration allows also limiting the lost power, due to the incriminate panel, by switching off this panels and reconfiguration the topology. As a result, a real time adaptation of a switch matrix allows a self-ability to maintain a constant load voltage. Moreover, a minimum number of PV panels are switched off by isolating the effect of unhealthy panels. In addition, the proposed solution can also be applied for identifying and locating the shaded, dusty and faulty panel. Experimental setup has been built and the results validate the proposed method.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:82:y:2015:i:c:p:4-13
    DOI: 10.1016/j.renene.2014.09.041
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    References listed on IDEAS

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    3. Murugesan, Palpandian & David, Prince Winston & Murugesan, Pravin & Periyasamy, Pounraj, 2023. "Battery based mismatch reduction technique for partial shaded solar PV system," Energy, Elsevier, vol. 272(C).
    4. Ranjbaran, Parisa & Yousefi, Hossein & Gharehpetian, G.B. & Astaraei, Fatemeh Razi, 2019. "A review on floating photovoltaic (FPV) power generation units," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 332-347.
    5. Astitva Kumar & Mohammad Rizwan & Uma Nangia & Muhannad Alaraj, 2021. "Grey Wolf Optimizer-Based Array Reconfiguration to Enhance Power Production from Solar Photovoltaic Plants under Different Scenarios," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    6. Giuseppe Schettino & Filippo Pellitteri & Guido Ala & Rosario Miceli & Pietro Romano & Fabio Viola, 2020. "Dynamic Reconfiguration Systems for PV Plant: Technical and Economic Analysis," Energies, MDPI, vol. 13(8), pages 1-21, April.
    7. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
    8. Sai Krishna, G. & Moger, Tukaram, 2021. "A novel adaptive dynamic photovoltaic reconfiguration system to mitigate mismatch effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    9. Zhang, Tao & Jiang, Jiahui & Chen, Daolian, 2021. "An efficient and low-cost DMPPT approach for photovoltaic submodule based on multi-port DC converter," Renewable Energy, Elsevier, vol. 178(C), pages 1144-1155.
    10. Sandra Aragon-Aviles & Arvind H. Kadam & Tarlochan Sidhu & Sheldon S. Williamson, 2022. "Modeling, Analysis, Design, and Simulation of a Bidirectional DC-DC Converter with Integrated Snow Removal Functionality for Solar PV Electric Vehicle Charger Applications," Energies, MDPI, vol. 15(8), pages 1-20, April.
    11. 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.

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