研究目的
To realize IGBT open-circuit fault diagnosis for closed-loop cascaded photovoltaic (PV) grid-connected inverters by analyzing the inverter output voltage time waveforms in healthy and faulty conditions.
研究成果
The proposed fault diagnosis strategy for a cascaded PV grid-connected inverter, based on a two-level classification approach using PCA-SVM, has shown effectiveness in diagnosing open-circuit faults under different environmental conditions. The simulation results indicate better robustness and higher fault diagnosis accuracy compared to existing strategies.
研究不足
The method's effectiveness is demonstrated through simulation results, and its practical implementation in real engineering applications may face challenges due to computational costs and the need for a large amount of data for training the network.
1：Experimental Design and Method Selection:
The strategy involves selecting similar faults based on Euclidean distance and setting specific labels, followed by classification using Principal Component Analysis (PCA) and Support Vector Machine (SVM).
2：Sample Selection and Data Sources:
The output voltage of the inverter is collected as the fault diagnosis signals under different environmental conditions.
3：List of Experimental Equipment and Materials:
A single-phase cascaded five-level photovoltaic grid-connected system is modeled under Matlab-Simulink.
4：Experimental Procedures and Operational Workflow:
The method is based on a two-level classification approach using PCA-SVM, where the first level classifies faults with distinctive signatures and the second level discriminates those with similar signatures.
5：Data Analysis Methods:
The performance is analyzed with regard to the stability of its results over different periods and its robustness against variations in environmental conditions.
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