Converter transformer state detection method and platform based on PD monitoring

By conducting multi-signal monitoring and analysis of the converter transformer, the problem of insufficient detection caused by traditional detection methods relying on a single signal is solved, and more accurate insulation state evaluation and fault prediction are achieved.

CN119881561AActive Publication Date: 2025-04-25STATE GRID SHANXI ELECTRIC POWER COMPANY TAIYUAN POWER SUPPLY COMPANY +2
13 Cites 1 Cited by

Patent Information

Application Number
CN202510374404.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-27
Publication Date
2025-04-25
Estimated Expiration
2045-03-27

AI Technical Summary

Technical Problem

Traditional converter insulation state detection methods rely on a single signal and are difficult to fully reflect the health status of the transformer, resulting in insufficient comprehensiveness and accuracy of the detection.

Method used

By monitoring the local discharge electrical signals, thermal signals, acoustic signals and optical signals of the converter transformer, multiple signal arrays are obtained, scale analysis, consistency analysis and signal abnormality analysis are carried out, and transformer state analysis channels are configured to obtain insulation impact parameters.

Benefits of technology

A more comprehensive and accurate assessment of the health status of the insulating layer of the converter transformer is achieved, which significantly improves the comprehensiveness and accuracy of insulation state detection, promptly detects potential insulation faults, and reduces the probability of failures.

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Patent Text Reader

Abstract

The invention provides a converter transformer state detection method and platform based on PD monitoring, and relates to the technical field of electrical equipment health monitoring, and the method comprises the steps: carrying out the monitoring of an electrical signal, a thermal signal, an acoustic signal and an optical signal of partial discharge of a converter transformer, performing discharge scale analysis and discharge consistency analysis on the electric signal array, the thermal signal array, the acoustic signal array and the optical signal array; according to the scale information and the consistency information, configuring a state analysis path in the transformer state analysis channel, and analyzing to obtain an insulation influence parameter; and carrying out detection to obtain actual insulation influence parameters, and updating the transformer state analysis channel. According to the method, the problems that a traditional detection method usually depends on a single signal to carry out insulation state evaluation, the health condition of the transformer is difficult to comprehensively reflect, and insulation state detection is insufficient in comprehensiveness and accuracy can be solved, comprehensive analysis is carried out on the transformer through multi-signal monitoring, and the detection accuracy is improved. And the comprehensiveness and the accuracy of insulation state detection can be obviously improved.
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Citation Information

Patent Citations

  • Extra-high voltage converter transformer insulation monitoring and partial discharge fault diagnosis method

    CN111337798A

  • Transformer partial discharge monitoring analysis method and system

    CN115436767A

  • Integrated sensing monitoring method and system based on transformer partial discharge ultrasonic waves

    CN117783796A

  • Transformer diagnostic analysis and early warning method based on multi-source heterogeneous data model

    CN117872223A

  • Abnormality detection device, power supply system, and abnormality detection method

    CN118339465A

Cited By

  • PD detection system based on multi-modal sensing fusion and working method and application thereof

    CN121114683A