Diagnosis device for insulation fault of power distribution system

Abstract

The invention relates to a diagnosis device for an insulation fault of a power distribution system. The diagnosis device comprises a current transformer, a partial discharge sensor, an infrared thermal imaging sensor, an ARM core processing unit and a man-machine interaction unit. Compared with the prior art, the diagnosis device has the advantages of high integration, multi-source research and judgment, comprehensive analysis based on ultrahigh frequency partial discharge, infrared temperature measurement and current break variable, and determination of the fault type, and is more accurate and efficient. Multiple sensors are fused and applied, the equipment cost is saved, and deployment is convenient. Non-contact installation is mainly adopted, live-line installation is achieved, and power failure is not needed. The diagnosis device has a plurality of network access modes, has a data aggregation function, can access a plurality of data sensing information through a plurality of wireless and wired communication modes, and performs data interaction with a superior system. According to a multi-parameter fusion analysis equipment state diagnosis and early warning technology, various monitoring data can be fused, fusion analysis is carried out, fault deduction is carried out by referring to historical data, and an operation and maintenance strategy is guided.

Description

technical field [0001] The invention relates to the technical field of insulation fault detection, in particular to a diagnostic device for insulation faults of power distribution systems. Background technique [0002] At present, in terms of insulation fault detection, the more effective method is to measure the partial discharge signal. By detecting whether there is partial discharge inside / surface of the distribution network equipment and its intensity, it can be judged whether there is a defect in the insulation of the distribution network equipment and its severity. [0003] At present, the main technologies for partial discharge detection of power equipment are high-frequency method, ultra-high frequency method, ultrasonic method, transient earth voltage (TEV) or earth wave method. The detection principle of each detection technology is different, and the scope of application is also different. High-frequency partial discharge detection technology is mainly used to de...

AI Technical Summary

Problems solved by technology

However, this patented method is only designed for transformers, and has essential differences from this patent in terms of detection principles and methods.

[0008] At present, fault diagnosis is carried out through a single partial discharge device, lack of mutual verification of other diagnostic data, and it is easy to cause false positives and negative events.

At the same time, the monitoring frequency band of a single partial discharge device is limited, it is difficult to cover the full frequency band partial discharge signal, it is difficult to locate the fault of the device comprehensively and accurately, and there is a lack of data comprehensive research and judgment

[0009] Pre-warning of equipment abnormalities through infrared temperature measurement can only detect the abnormal temperature of the equipment, but cannot locate the fault type, which is the basis for further research and judgment

[0010] Partial discharge and infrared monitoring both use the derived characteristics of equipment failures for monitoring and judgment, without comprehensive diagnosis combined with electrical quantities such as equipment current, it is impossible to comprehensively study and judge the type and severity of failures, and failure judgments are one-sided

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