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Diagnostics of PID Early Stage in PV Systems

Author

Listed:
  • Tomáš Finsterle

    (Department of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague, Czech Republic)

  • Ladislava Černá

    (Department of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague, Czech Republic)

  • Pavel Hrzina

    (Department of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague, Czech Republic)

  • David Rokusek

    (Department of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague, Czech Republic)

  • Vítězslav Benda

    (Department of Electrotechnology, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27 Prague, Czech Republic)

Abstract

Potential induced degradation (PID) is a serious threat for the photovoltaic (PV) industry. The risk of PID may increase with increasing operating voltage of PV systems. Although PID tests are currently standard tests, the expansion of floating PV power plants and installation in humid climates show that PID-free modules are still sensitive to this type of degradation. Therefore, a method that can detect PID in the initial phase before standard tests reveal it, is necessary to increase the reliability of PV systems and maintain their lifetime. One possible tool for revealing early-stage PID manifestations is impedance spectroscopy and I-V dark curves measurements. Both IS and dark current measurement methods are sensitive to cell shunt resistance ( R SH ), which is strongly influenced by PID before significant power loss and can act as an early stage PID detection mechanism. The paper describes the differences of the common P-type PV module parameters both during the degradation process and also during the regeneration process when diagnosed by conventional and IS and dark current measurement methods.

Suggested Citation

  • Tomáš Finsterle & Ladislava Černá & Pavel Hrzina & David Rokusek & Vítězslav Benda, 2021. "Diagnostics of PID Early Stage in PV Systems," Energies, MDPI, vol. 14(8), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2155-:d:535051
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    References listed on IDEAS

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    1. Petru Adrian Cotfas & Daniel Tudor Cotfas & Paul Nicolae Borza & Dezso Sera & Remus Teodorescu, 2018. "Solar Cell Capacitance Determination Based on an RLC Resonant Circuit," Energies, MDPI, vol. 11(3), pages 1-13, March.
    2. Livera, Andreas & Theristis, Marios & Makrides, George & Georghiou, George E., 2019. "Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 133(C), pages 126-143.
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    Cited by:

    1. Lina Alhmoud, 2023. "Why Does the PV Solar Power Plant Operate Ineffectively?," Energies, MDPI, vol. 16(10), pages 1-38, May.

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