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Performance evaluation of dc power optimizer (DCPO) for photovoltaic (PV) system during partial shading

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  • Ramli, Mohd Zulkifli
  • Salam, Zainal

Abstract

One of the drawbacks of the maximum power point tracker (MPPT) algorithm is its inability to extract the energy from partially shaded photovoltaic (PV) panels. This is because the bypass diode short circuits the shaded panel; consequently no power can be extracted from it. However, it is possible to harvest the energy from the shaded panel using dc power optimizer (DCPO)—a specialized dc-dc converter that incorporates an independent MPPT controller. This paper analyzes, simulates and evaluates the performance of the PV system with DCPO and to compare it to the conventional system with the bypass diode alone. The field data from a 1.25 kWp system suggests that the cumulative energy gain of DCPO (compared to bypass diode) increases from 2.8 to 6.4%, depending upon the type of shading pattern imposed on the panels. Further, this work investigates the performance of DCPO for sub-module shading. It is found that for a panel that consists of three sub-modules, the energy yield is improved by approximately 1%. With such marginal increase, it may not be justifiable to install one DCPO device for each sub-module of a panel.

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  • Ramli, Mohd Zulkifli & Salam, Zainal, 2019. "Performance evaluation of dc power optimizer (DCPO) for photovoltaic (PV) system during partial shading," Renewable Energy, Elsevier, vol. 139(C), pages 1336-1354.
    • Handle: RePEc:eee:renene:v:139:y:2019:i:c:p:1336-1354
    DOI: 10.1016/j.renene.2019.02.072
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    1. Al-Saffar, Mustafa A. & Ismail, Esam H., 2015. "A high voltage ratio and low stress DC–DC converter with reduced input current ripple for fuel cell source," Renewable Energy, Elsevier, vol. 82(C), pages 35-43.
    2. Wang, Faqiang, 2018. "A novel quadratic Boost converter with low current and voltage stress on power switch for fuel-cell system applications," Renewable Energy, Elsevier, vol. 115(C), pages 836-845.
    3. Dhimish, Mahmoud & Holmes, Violeta & Mehrdadi, Bruce & Dales, Mark & Chong, Benjamin & Zhang, Li, 2017. "Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions," Renewable Energy, Elsevier, vol. 113(C), pages 438-460.
    4. Çelik, Özgür & Teke, Ahmet & Tan, Adnan, 2018. "Overview of micro-inverters as a challenging technology in photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3191-3206.
    5. Sabzali, Ahmad J. & Ismail, Esam H. & Behbehani, Hussain M., 2015. "High voltage step-up integrated double Boost–Sepic DC–DC converter for fuel-cell and photovoltaic applications," Renewable Energy, Elsevier, vol. 82(C), pages 44-53.
    6. G, Dileep. & Singh, S.N., 2017. "Selection of non-isolated DC-DC converters for solar photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1230-1247.
    7. Hasan, Rasedul & Mekhilef, Saad & Seyedmahmoudian, Mehdi & Horan, Ben, 2017. "Grid-connected isolated PV microinverters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1065-1080.
    8. Bressan, M. & Gutierrez, A. & Garcia Gutierrez, L. & Alonso, C., 2018. "Development of a real-time hot-spot prevention using an emulator of partially shaded PV systems," Renewable Energy, Elsevier, vol. 127(C), pages 334-343.
    9. Khan, O. & Xiao, W., 2017. "Review and qualitative analysis of submodule-level distributed power electronic solutions in PV power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 516-528.
    10. Larbes, C. & Aït Cheikh, S.M. & Obeidi, T. & Zerguerras, A., 2009. "Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system," Renewable Energy, Elsevier, vol. 34(10), pages 2093-2100.
    11. Chao, Kuei-Hsiang & Lin, Yu-Sheng & Lai, Uei-Dar, 2015. "Improved particle swarm optimization for maximum power point tracking in photovoltaic module arrays," Applied Energy, Elsevier, vol. 158(C), pages 609-618.
    12. Sundareswaran, K. & Vignesh kumar, V. & Palani, S., 2015. "Application of a combined particle swarm optimization and perturb and observe method for MPPT in PV systems under partial shading conditions," Renewable Energy, Elsevier, vol. 75(C), pages 308-317.
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    Cited by:

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    2. Alfredo Gil-Velasco & Carlos Aguilar-Castillo, 2021. "A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions," Energies, MDPI, vol. 14(9), pages 1-12, April.
    3. Calcabrini, Andres & Muttillo, Mirco & Weegink, Raoul & Manganiello, Patrizio & Zeman, Miro & Isabella, Olindo, 2021. "A fully reconfigurable series-parallel photovoltaic module for higher energy yields in urban environments," Renewable Energy, Elsevier, vol. 179(C), pages 1-11.
    4. 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.
    5. Chan, Lok Shun, 2022. "Neighbouring shading effect on photovoltaic panel system: Its implication to green building certification scheme," Renewable Energy, Elsevier, vol. 188(C), pages 476-490.
    6. Fathy, Ahmed & Yousri, Dalia & Babu, Thanikanti Sudhakar & Rezk, Hegazy, 2023. "Triple X Sudoku reconfiguration for alleviating shading effect on total-cross-tied PV array," Renewable Energy, Elsevier, vol. 204(C), pages 593-604.
    7. Chanuri Charin & Dahaman Ishak & Muhammad Ammirrul Atiqi Mohd Zainuri & Baharuddin Ismail & Turki Alsuwian & Adam R. H. Alhawari, 2022. "Modified Levy-based Particle Swarm Optimization (MLPSO) with Boost Converter for Local and Global Point Tracking," Energies, MDPI, vol. 15(19), pages 1-30, October.

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