Dry-type transformer multi-information online comprehensive monitoring method and system

Abstract

The invention belongs to the field of on-line monitoring and fault diagnosis of dry-type transformers, and specifically discloses a method and system for on-line comprehensive monitoring of multi-information quantities of dry-type transformers. According to the real-time online monitoring of partial discharge ultrasonic signals, transient ground voltage signals, infrared thermal imaging image signals and vibration signals of dry-type transformers, the single state quantity information of transformers reflected by these signals is used for data fusion to determine the dry-type transformers. Faulty components and their state levels, and compare the single state quantity with the set threshold, and use the acoustic-electric joint analysis method, acoustic-thermal joint analysis method and acoustic-vibration joint analysis method to carry out fault alarm and fault location for dry-type transformers. The monitoring method and system of the present invention can efficiently and accurately judge the state level of the fault and accurately locate it.

Description

technical field [0001] The invention belongs to the field of on-line monitoring and fault diagnosis of dry-type transformers, and in particular relates to a method and system for on-line comprehensive monitoring of dry-type transformers with multiple amounts of information. Background technique [0002] With the growth of our country's national economy, the demand for electric energy has become particularly strong. In the electric power system, the production, transformation, transmission, and distribution of electric energy are closely dependent on various electric equipment. Among them, dry-type transformers are widely used to provide electric energy for various production enterprises and residents' lives due to their many advantages such as low operating loss, low noise, good insulation performance, good fire performance, and small size. At the same time, in recent years, with the improvement of people's living standards, the requirements for the safe and stable operation...

AI Technical Summary

Problems solved by technology

[0003] Due to its own structure and the complexity of its operating environment, dry-type transformers determine that in order to achieve effective, targeted, and reasonable transformer condition monitoring, multi-characteristic information and long-term operation and maintenance experience are needed to monitor transformers. It is difficult to make a comprehensive and accurate judgment on a single fault feature

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