<p>Power conversion systems in single-phase photovoltaic applications depend on DC-link capacitors, which are among the most failure-prone components in power electronics. To enhance system reliability and support preventive maintenance, this study addresses the need for accurate, non-intrusive monitoring of DC-link capacitance. We hypothesize that the 120&#xa0;Hz ripple component of the DC-link voltage can be used to estimate capacitance in real time without requiring additional hardware or system interruption. A novel frequency-domain method based on the Goertzel algorithm is proposed to extract the ripple component efficiently, offering lower computational complexity than conventional FFT-based approaches. Simulation and experimental validation on a 1.12&#xa0;kW single-phase PV system demonstrate high accuracy, with percentage relative errors below 1.85% and maximum relative errors under 3.86%. The results confirm that the proposed method provides a practical, accurate, and cost-effective solution for real-time DC-link capacitor monitoring in PV and other power electronic systems.</p>

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DC-Link Capacitance Estimation Using 120 Hz Ripple Voltage Detection Based on Frequency Analysis

  • Shin Yong-Jin,
  • Baek Min-Jae,
  • Lee Woo-Cheol

摘要

Power conversion systems in single-phase photovoltaic applications depend on DC-link capacitors, which are among the most failure-prone components in power electronics. To enhance system reliability and support preventive maintenance, this study addresses the need for accurate, non-intrusive monitoring of DC-link capacitance. We hypothesize that the 120 Hz ripple component of the DC-link voltage can be used to estimate capacitance in real time without requiring additional hardware or system interruption. A novel frequency-domain method based on the Goertzel algorithm is proposed to extract the ripple component efficiently, offering lower computational complexity than conventional FFT-based approaches. Simulation and experimental validation on a 1.12 kW single-phase PV system demonstrate high accuracy, with percentage relative errors below 1.85% and maximum relative errors under 3.86%. The results confirm that the proposed method provides a practical, accurate, and cost-effective solution for real-time DC-link capacitor monitoring in PV and other power electronic systems.