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

Abstract

The invention belongs to the field of dry-type transformer online monitoring and fault diagnosis, and particularly discloses a dry-type transformer multi-information-amount online comprehensive monitoring method and system. According to real-time on-line monitoring of a dry-type transformer on partial discharge ultrasonic signals, transient voltage-to-ground signals, infrared thermal imaging imagesignals and vibration signals, data fusion is carried out through single state quantity information, reflected by the signals, of the transformer, and fault components and state levels of the fault components of the dry-type transformer are determined. And the single state quantity is compared with a set threshold value, and an acoustoelectric joint analysis method, an acoustothermal joint analysis method and an acoustovibration joint analysis method are used for carrying out fault alarming and fault positioning on the dry-type transformer at the same time. According to the monitoring methodand system, the state grade of the fault can be efficiently and accurately judged and accurately positioned.

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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