Diagnosis and Localization of Partial Discharge in SF₆ Ring Cabinet with Multi-sensing Features

There are various electromagnetic noises in the air chamber of medium-voltage SF₆ ring cabinet, which may be misjudged as partial discharge signals during monitoring, resulting in false positives. By arranging multiple sensors to collect multi-source data of the ring network cabinet, and extract partial discharge signal features from the collected data, the real-time monitoring of partial discharge in the air chamber of the SF₆ ring network cabinet is realized. The test results show that the false positive rate and false negative rate of the proposed method can be controlled within 1%, which proves that the proposed method can detect partial discharge phenomenon in time and improve the safety of medium-voltage SF₆ ring network cabinet.