Analysis of fault detection and defect categorization in photovoltaic inverters for enhanced reliability and efficiency in large-scale solar energy systems

Analysis of fault detection and defect categorization in photovoltaic inverters for enhanced reliability and efficiency in large-scale solar energy systems

This study presents a systematic approach for examining the performance and vulnerability of large-scale, grid-connected PV systems in relation to inverter faults − particularly those linked to insulated-gate bipolar transistor (IGBT) component. The focus is on an interdisciplinary approach, utilisi...

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Bibliographic Details
Main Authors: Malik Stephanie, Daßler David, Patel Dharm, Klute Carola, Klengel Robert, Dietrich Andreas, Kaufmann Kai, Hennig Carsten, Wehnert Danny, Ebert Matthias
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:EPJ Photovoltaics
Subjects:
inverter failure
material diagnostics
data analysis
fault detection
curtailment
machine learning
Online Access:https://www.epj-pv.org/articles/epjpv/full_html/2025/01/pv20240070/pv20240070.html
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