Electrochemical Impedance Spectroscopy (EIS) is a widely adopted technique to diagnose degradations in devices such as batteries. Recently, its use has been proposed for photovoltaic (PV) panels through specialized devices such as the Frequency Response Analyzer (FRA); however, power converters can perform these functions, while regulating energy. Yet, the methodologies proposed in the state of the art do not detail the procedure, which makes difficult the reproduction of the results. This paper explains in detail how to perform EIS by using a power converter (PC). This approach provides a detailed analysis of the PC to obtain an equation for the amplitude of the converter duty cycle, to ensure a sinusoidal perturbation of the PV current with a fixed amplitude for any frequency. The proposed procedure is validated in PSIM software, which shows that the EIS obtained with the PC provides an RMSE of up to 0.0836 compared with the EIS obtained with the AC sweep tool of PSIM.

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Methodology for Electrochemical Impedance Spectroscopy in PV Panels Using Power Converters

  • Diego A. Herrera-Jaramillo,
  • Juan David Bastidas-Rodriguez,
  • Carlos Andrés Ramos-Paja

摘要

Electrochemical Impedance Spectroscopy (EIS) is a widely adopted technique to diagnose degradations in devices such as batteries. Recently, its use has been proposed for photovoltaic (PV) panels through specialized devices such as the Frequency Response Analyzer (FRA); however, power converters can perform these functions, while regulating energy. Yet, the methodologies proposed in the state of the art do not detail the procedure, which makes difficult the reproduction of the results. This paper explains in detail how to perform EIS by using a power converter (PC). This approach provides a detailed analysis of the PC to obtain an equation for the amplitude of the converter duty cycle, to ensure a sinusoidal perturbation of the PV current with a fixed amplitude for any frequency. The proposed procedure is validated in PSIM software, which shows that the EIS obtained with the PC provides an RMSE of up to 0.0836 compared with the EIS obtained with the AC sweep tool of PSIM.