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Voltage-Based Hot-Spot Detection Method for Photovoltaic String Using a Projector

Author

Listed:
  • Yadong Wang

    (Department of Electrical and Electronic Engineering, Kanagawa Institute of Technology, Atsugi 243-0292, Japan
    Department of Energy and Power Engineering, Yangzhou University, Yangzhou 225000, China)

  • Kazutaka Itako

    (Department of Electrical and Electronic Engineering, Kanagawa Institute of Technology, Atsugi 243-0292, Japan)

  • Tsugutomo Kudoh

    (Department of Electrical and Electronic Engineering, Kanagawa Institute of Technology, Atsugi 243-0292, Japan)

  • Keishin Koh

    (Department of Electrical and Electronic Engineering, Kanagawa Institute of Technology, Atsugi 243-0292, Japan)

  • Qiang Ge

    (Department of Energy and Power Engineering, Yangzhou University, Yangzhou 225000, China)

Abstract

This paper proposes a voltage-based hot-spot detection method for photovoltaic (PV) string using the projector. Hot-spots form in solar cells at defects causing a high carrier recombination rate, it appears as a high reverse leakage current of p-n junctions when solar cells are partially shadowed. Using this characteristic, authors previously developed a voltage-based hot-spot detection method to quickly identify and characterize the severity of a module hot-spot. However, previous experimental results were shown for just one module. In this paper, experiments are done on plural modules in the string. From the result, this method works effectively for PV string. Correlations among illuminance, load resistance, hot-spot temperature, and risk factor are also discussed.

Suggested Citation

  • Yadong Wang & Kazutaka Itako & Tsugutomo Kudoh & Keishin Koh & Qiang Ge, 2017. "Voltage-Based Hot-Spot Detection Method for Photovoltaic String Using a Projector," Energies, MDPI, vol. 10(2), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:230-:d:90407
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    Citations

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    Cited by:

    1. João Gomes, 2019. "Assessment of the Impact of Stagnation Temperatures in Receiver Prototypes of C-PVT Collectors," Energies, MDPI, vol. 12(15), pages 1-20, August.
    2. Oswaldo Menéndez & Robert Guamán & Marcelo Pérez & Fernando Auat Cheein, 2018. "Photovoltaic Modules Diagnosis Using Artificial Vision Techniques for Artifact Minimization," Energies, MDPI, vol. 11(7), pages 1-23, June.
    3. Qiang Ge & Zhenzhi Li & Ziming Sun & Jin Xu & Heng Long & Tao Sun, 2022. "Low Resistance Hot-Spot Diagnosis and Suppression of Photovoltaic Module Based on I-U Characteristic Analysis," Energies, MDPI, vol. 15(11), pages 1-21, May.
    4. Gabriella-Stefánia Szabó & Róbert Szabó & Loránd Szabó, 2022. "A Review of the Mitigating Methods against the Energy Conversion Decrease in Solar Panels," Energies, MDPI, vol. 15(18), pages 1-21, September.

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