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Disperse Partial Shading Effect of Photovoltaic Array by Means of the Modified Complementary SuDoKu Puzzle Topology

Author

Listed:
  • Cheng-En Ye

    (Department of Electrical Engineering, National Cheng Kung University, 1 University Road, Tainan 70101, Taiwan)

  • Cheng-Chi Tai

    (Department of Electrical Engineering, National Cheng Kung University, 1 University Road, Tainan 70101, Taiwan)

  • Yu-Pei Huang

    (Department of Electrical Engineering, National Quemoy University, Kinmen County 892009, Taiwan)

Abstract

This paper presents a novel modified Complementary SuDoKu puzzle (MC-SDKP) topology for the static reconfiguration of photovoltaic (PV) arrays. It was developed with the aim of enhancing the power output of a PV array which is exposed to partially shaded conditions (PSCs). To disperse patterns of both center shading and corner shading, the MC-SDKP technique modified and combined the Optimal SDKP and the Complementary SDKP (C-SDKP) topologies. An 8 × 8 PV array configured with the MC-SDKP topology was exposed to nine different shading patterns, and its performance was compared with that of the other four topologies. The results of the performance evaluation confirmed that, when configured according to the MC-SDKP, the PV array produced the highest average power output among all five topologies, with a 15.07% higher output on average than the total-cross tied. The PV array with the MC-SDKP topology also exhibited the lowest average power loss (1.34%). This study clearly established the effectiveness of the MC-SDKP topology at mitigating the effects of both center and corner shading. The advantages of the MC-SDKP reconfiguration technique are: an increase in extracted power, a reduction in current mismatch losses, an improvement in shade dispersion under conditions of center shading, and good scalability.

Suggested Citation

  • Cheng-En Ye & Cheng-Chi Tai & Yu-Pei Huang, 2023. "Disperse Partial Shading Effect of Photovoltaic Array by Means of the Modified Complementary SuDoKu Puzzle Topology," Energies, MDPI, vol. 16(13), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4910-:d:1178015
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    References listed on IDEAS

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    1. Yu-Pei Huang & Cheng-En Ye & Xiang Chen, 2018. "A Modified Firefly Algorithm with Rapid Response Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions," Energies, MDPI, vol. 11(9), pages 1-33, August.
    2. Tiago Alves & João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Carlos A. F. Fernandes, 2021. "Different Techniques to Mitigate Partial Shading in Photovoltaic Panels," Energies, MDPI, vol. 14(13), pages 1-25, June.
    3. Fabio Corti & Antonino Laudani & Gabriele Maria Lozito & Alberto Reatti, 2020. "Computationally Efficient Modeling of DC-DC Converters for PV Applications," Energies, MDPI, vol. 13(19), pages 1-18, September.
    4. Sampath Kumar Vankadara & Shamik Chatterjee & Praveen Kumar Balachandran & Lucian Mihet-Popa, 2022. "Marine Predator Algorithm (MPA)-Based MPPT Technique for Solar PV Systems under Partial Shading Conditions," Energies, MDPI, vol. 15(17), pages 1-16, August.
    5. Nouman Akram & Laiq Khan & Shahrukh Agha & Kamran Hafeez, 2022. "Global Maximum Power Point Tracking of Partially Shaded PV System Using Advanced Optimization Techniques," Energies, MDPI, vol. 15(11), pages 1-29, May.
    6. Belqasem Aljafari & Priya Ranjan Satpathy & Siva Rama Krishna Madeti & Pradeep Vishnuram & Sudhakar Babu Thanikanti, 2022. "Reliability Enhancement of Photovoltaic Systems under Partial Shading through a Two-Step Module Placement Approach," Energies, MDPI, vol. 15(20), pages 1-27, October.
    7. Mehedi, I.M. & Salam, Z. & Ramli, M.Z. & Chin, V.J. & Bassi, H. & Rawa, M.J.H. & Abdullah, M.P., 2021. "Critical evaluation and review of partial shading mitigation methods for grid-connected PV system using hardware solutions: The module-level and array-level approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    8. Manuel Díaz & Javier Muñoz & Marco Rivera & Jaime Rohten, 2023. "A Comprehensive Control Strategy for a Push–Pull Microinverter Connected to the Grid," Energies, MDPI, vol. 16(7), pages 1-13, April.
    9. Vinaya Chandrakant Chavan & Suresh Mikkili & Tomonobu Senjyu, 2022. "Hardware Implementation of Novel Shade Dispersion PV Reconfiguration Technique to Enhance Maximum Power under Partial Shading Conditions," Energies, MDPI, vol. 15(10), pages 1-16, May.
    10. Waleed Al Abri & Rashid Al Abri & Hassan Yousef & Amer Al-Hinai, 2021. "A Simple Method for Detecting Partial Shading in PV Systems," Energies, MDPI, vol. 14(16), pages 1-12, August.
    11. Reddy, S. Sreekantha & Yammani, Chandrasekhar, 2020. "Odd-Even-Prime pattern for PV array to increase power output under partial shading conditions," Energy, Elsevier, vol. 213(C).
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