A Power System Disturbance Classification Method Robust to PMU Data Quality Issues

IEEE Transactions on Industrial Informatics(2022)

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摘要
Data quality issues exist in practical phasor measurement units (PMUs) due to communication errors or signal interferences. As a result, the performances of existing data-driven disturbance classification methods can be significantly affected. In this article, a fast disturbance classification method that is robust to PMU data quality issues is proposed. The impacts of bad PMU measurements on dist...
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关键词
Phasor measurement units,Feature extraction,Noise reduction,Convolution,Power systems,Data integrity,Informatics
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