DC-Link Capacitor Diagnosis in a Single-Phase Grid-Connected PV System

Ramiro Alejandro Plazas-Rosas, Martha Lucia Orozco-Gutierrez, Giovanni Spagnuolo, Édinson Franco-Mejía and Giovanni Petrone
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Ramiro Alejandro Plazas-Rosas: Escuela de Ingeniería Eléctrica y Electrónica, Universidad del Valle, Calle 13#100-00, Santiago de Cali 76001, Colombia
Martha Lucia Orozco-Gutierrez: Escuela de Ingeniería Eléctrica y Electrónica, Universidad del Valle, Calle 13#100-00, Santiago de Cali 76001, Colombia
Giovanni Spagnuolo: DIEM—Università Degli Studi di Salerno—Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy
Édinson Franco-Mejía: Escuela de Ingeniería Eléctrica y Electrónica, Universidad del Valle, Calle 13#100-00, Santiago de Cali 76001, Colombia
Giovanni Petrone: DIEM—Università Degli Studi di Salerno—Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy

Energies, 2021, vol. 14, issue 20, 1-23

Abstract: The DC-link capacitor is one of the components that are more prone to faults in energy-distributed systems based on voltage source inverters. A predictive maintenance approach should allow to foresee the risk of an unexpected system shutdown. In this study, a two-stage diagnostic approach that is aimed at determining the health status of the DC-link capacitor in a single-phase grid-connected PV system was proposed. The equivalent series resistance ( ESR ) and the capacitance ( C ) values were used as indicators in the estimation of the degradation stage. Electrochemical impedance spectroscopy (EIS) was used to estimate the impedance curve of the DC-link capacitor, and a multi-fitting algorithm allowed us to determine the ESR and C parameters. A comparison between the estimated values C and ESR and the nominal values was used to quantify the fault severity. It was demonstrated that the EIS allowed the determination of the capacitor impedance regardless of the actual operating conditions of the photovoltaic generator, such as during irradiance changes and with the maximum power point algorithm turned off. By using the capacitor simplified model and a multi-fitting algorithm, the C and ESR values were estimated with an error that was lower than 1%. An analysis of the hardware required to implement the proposed approach in real applications by achieving the desired accuracy was also proposed.

Keywords: diagnosis of aging; frequency analysis; multi-fitting; indicators of degradation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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