Identification and Anomaly Diagnosis of Resistance in Photovoltaic Systems Via the Single-Diode Model

Le résumé fourni par la source

The rapid growth of the photovoltaic industry requires an accurate diagnosis of faults in PV modules, particularly for impedance anomalies that affect the reliability of the system. This paper proposes an adaptive weighted framework based on the single-diode model, integrating resistance identification with environmental sensitivity weights. Compared with the existing series resistance identification method, this paper introduces a correction term, which significantly improves the accuracy. An adaptive weighting mechanism is designed to quantify the sensitivity of resistance to variations in irradiance and temperature. A novel impedance anomaly diagnosis method is proposed, which can be applied for outdoor varying conditions, providing a robust tool for maintenance of PV systems. The experimental results confirm the effectiveness of the Identification and Anomaly Diagnosis of the Resistances in the photovoltaic systems.

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