Switch cabinet big data state evaluation method and system based on intelligent partial discharge live-line detection

Abstract

The invention provides a switch cabinet big data state evaluation system based on intelligent partial discharge live-line detection. The system comprises an intelligent inspection unit, a partial discharge diagnosis and positioning unit, an equipment state evaluation unit, an intelligent terminal and a control unit, wherein the equipment state evaluation unit comprises a communication unit, a signal storage unit, a characteristic signal extraction unit, a defect type identification unit and an equipment defect severity analysis unit. The system is advantaged in that the system has properties of high intelligentization level, good partial discharge detection sensitivity and high risk evaluation accuracy, and powerful technical support is provided for developing power-on maintenance of the switch cabinet.

Description

technical field [0001] The invention belongs to the technical field of electric power engineering, and in particular relates to a switch cabinet state evaluation method and system based on partial discharge live detection, which is suitable for live detection and state evaluation of 10kV and 35kV switch cabinets. Background technique [0002] 10kV and 35kV switchgears are important equipment for substations to supply power to users. The safe and stable operation of switchgears plays a very important role in the safety and reliability of power supply. The long-term operation of the switch cabinet is affected by strong electric field, thermal effect, moisture condensation, dust, etc., which will cause the insulation performance to decline or even deteriorate, and produce partial discharge. If the partial discharge cannot be detected in time, the long-term cumulative effect will cause further deterioration of the insulation. , Enlarging the defect, and finally causing insulatio...

AI Technical Summary

Problems solved by technology

At present, the live detection of switchgear at home and abroad mainly adopts the ultrasonic method and the transient ground potential method, but according to field experience, the two detection methods are not sensitive enough for some insulation defects; the switchgear live detection lacks intelligent detection methods, which are generally held by the detection personnel. The testing instruments regularly test the switchgear, the testing workload is heavy, the data processing is cumbersome, the test results mainly rely on human judgment, and the requirements for personnel are high; a single test result cannot accurately evaluate the operating status of the switchgear

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