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Evaluation of Interconnection Configuration Schemes for PV Modules with Switched-Inductor Converters under Partial Shading Conditions

Author

Listed:
  • Kamran Ali Khan Niazi

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Yongheng Yang

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Mashood Nasir

    (Electrical Engineering Department, Lahore University of Management Sciences, Lahore 54792, Pakistan)

  • Dezso Sera

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

Abstract

Partial shading on photovoltaic (PV) arrays reduces the overall output power and causes multiple maximas on the output power characteristics. Due to the introduction of multiple maximas, mismatch power losses become apparent among multiple PV modules. These mismatch power losses are not only a function of shading characteristics, but also depend on the placement and interconnection patterns of the shaded modules within the array. This research work is aimed to assess the performance of 4 × 4 PV array under different shading conditions. The desired objective is to attain the maximum output power from PV modules at different possible shading patterns by using power electronic-based differential power processing (DPP) techniques. Various PV array interconnection configurations, including the series-parallel (SP), total-cross-tied (TCT), bridge-linked (BL), and center-cross-tied (CCT) are considered under the designed shading patterns. A comparative performance analysis is carried out by analyzing the output power from the DPP-based architecture and the traditional Schottky diode-based architecture. Simulation results show the gain in the output power by using the DPP-based architecture in comparison to the traditional bypassing diode method.

Suggested Citation

  • Kamran Ali Khan Niazi & Yongheng Yang & Mashood Nasir & Dezso Sera, 2019. "Evaluation of Interconnection Configuration Schemes for PV Modules with Switched-Inductor Converters under Partial Shading Conditions," Energies, MDPI, vol. 12(14), pages 1-12, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2802-:d:250286
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    Cited by:

    1. Aljafari, Belqasem & Satpathy, Priya Ranjan & Thanikanti, Sudhakar Babu, 2022. "Partial shading mitigation in PV arrays through dragonfly algorithm based dynamic reconfiguration," Energy, Elsevier, vol. 257(C).
    2. Wenjie Liu & Kamran Ali Khan Niazi & Tamas Kerekes & Yongheng Yang, 2019. "A Review on Transformerless Step-Up Single-Phase Inverters with Different DC-Link Voltage for Photovoltaic Applications," Energies, MDPI, vol. 12(19), pages 1-17, September.
    3. Rehman, Naveed ur & Uzair, Muhammad & Allauddin, Usman, 2020. "An optical-energy model for optimizing the geometrical layout of solar photovoltaic arrays in a constrained field," Renewable Energy, Elsevier, vol. 149(C), pages 55-65.
    4. Manoharan Premkumar & Umashankar Subramaniam & Thanikanti Sudhakar Babu & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2020. "Evaluation of Mathematical Model to Characterize the Performance of Conventional and Hybrid PV Array Topologies under Static and Dynamic Shading Patterns," Energies, MDPI, vol. 13(12), pages 1-37, June.
    5. Dan Craciunescu & Laurentiu Fara, 2023. "Investigation of the Partial Shading Effect of Photovoltaic Panels and Optimization of Their Performance Based on High-Efficiency FLC Algorithm," Energies, MDPI, vol. 16(3), pages 1-28, January.
    6. Kuei-Hsiang Chao & Pei-Lun Lai, 2021. "A Fault Diagnosis Mechanism with Power Generation Improvement for a Photovoltaic Module Array," Energies, MDPI, vol. 14(3), pages 1-19, January.

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