Design of an Automated Online Monitoring System for Switchgear Partial Discharge

In high-voltage switchgear, under the action of high electric field intensity, the insulation medium will not penetrate between the electrodes, and partial discharge may damage the insulation performance of the equipment, thus affecting the normal operation and life of the equipment. However, based on the problems of traditional manual inspection, such as low efficiency, single detection principle and insufficient safety, a four-in-one automatic on-line monitoring system for switchgear partial discharge is proposed. The system selects four detection methods: ultrasonic sensor, geoelectric wave sensor, UHF antenna sensor and temperature sensor. The inspection robot can accurately locate the detection points, SqueezeNet convolutional neural network can judge the type of partial discharge, and the correlation coefficient can be calculated by the discharge frequency. The test results show that the system can detect the status of switchgear more comprehensively and timely. Compared with traditional manual inspection, the system can realize automatic inspection, greatly improving the safety and efficiency of inspection, and the inspection benefit is about four times that of manual inspection.