Automatic Identification Method for Abnormal Setting Data of Relay Protection Based on Digital Twins
Relay protection setting data usually includes multiple sources.These data may have missing,incorrect,or noisy interference,which can cause difficulties in anomaly identification.To this end,a new automatic identification method for abnormal relay protection setting data based on digital twins is designed.By modeling the behavior and characteristics of actual equipment into a computer virtual environment,digital twins are used to obtain and extract real-time relay protection setting data.Based on this data,the fluctuation characteristics of relay protection data are extracted,and specific changes in the characteristics are outputted to screen and identify abnormal data.The results show that the research method can accurately extract the setting data of relay protection,and the error in identifying its anomalies is always less than 2%.
digital twinrelay protection settingdata anomaliesautomatic identification methods
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