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Transformer gas fault diagnosis and alarm method based on multidimensional characteristics

A transformer fault and multi-dimensional feature technology, applied in the direction of material inspection products, etc., can solve the problems of affecting the measurement of gas concentration, affecting the value of gas concentration, and numerical fluctuations

Active Publication Date: 2015-07-08
STATE GRID CORP OF CHINA +1
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Problems solved by technology

[0006] (2) The effect of oil and gas separation affects the determination of gas concentration, and the value will fluctuate
[0007] (3) The measurement accuracy of the chromatographic column affects the gas concentration value
[0008] Due to these influencing factors, the data of the measured gas presents irregular fluctuations, resulting in bad data in the measured value data

Method used

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  • Transformer gas fault diagnosis and alarm method based on multidimensional characteristics
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  • Transformer gas fault diagnosis and alarm method based on multidimensional characteristics

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Embodiment

[0082] In the online monitoring system, due to the measurement error of the sensor, the data that does not conform to the changing law of the electrical equipment itself, or the data that does not conform to the accuracy and range of the measuring instrument itself, are collectively referred to as bad data, which mainly includes dead data. , Abnormal jump data, etc.

[0083] The dead data is: in the time series, data that should change with time under normal circumstances, if there is no change in a period of time, these point data are called dead data. When determining that the data is dead data, the change characteristics and concentration of the measured fault characteristic gas in the transformer should be considered.

[0084] In the transformer oil chromatographic gas online monitoring system, the following data are considered as dead data:

[0085] (1) In the upper computer system, the time scale of the received data remains unchanged (it is the past time scale), and th...

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Abstract

The invention provides a transformer gas fault diagnosis and alarm method based on multidimensional characteristics. The method comprises a step of bad data processing and a step of transformer alarm diagnosis. The concentration values of gases dissolved in transformer oil are acquired through an on-line monitoring system, data is fed back to a host computer management system, and then a transformer fault prediction and alarm system starts a data validity algorithm routine to determine the validity of the measured data and to process the measured data, i.e., to determine whether the data is bad data and to process the data; after the data is determined to be valid, the system starts a data fault false alarm determination algorithm routine for transformer fault determination, and whether to give an alarm or not is determined according to a measurement threshold value table of a transformer on-line monitoring device; whether a transformer has a fault or not is eventually determined by using a related gas alarm algorithm in a transformer fault false alarm determination program, i.e., whether an alarm is a false alarm is determined; and if it is determined that the alarm is a false alarm, the transformer is determined to be normal, otherwise the transformer is determined to have a fault.

Description

technical field [0001] The invention relates to a transformer gas fault diagnosis and alarm method based on multidimensional feature quantities, and belongs to the technical field of power equipment fault detection and alarm. Background technique [0002] Oil-filled power transformers will age and deteriorate under the action of electricity or heat during long-term operation and produce a small amount of gas. When there is a thermal or electrical fault in the transformer, seven characteristic gases that are valuable for judging transformer faults will be produced, namely hydrogen (H2), methane (CH4), ethane (C2H6), ethylene (C2H4), acetylene (C2H2), and carbon monoxide. (CO), carbon dioxide (CO2). If it is not artificially vented, the gas produced will dissolve into the transformer oil. Therefore, by measuring the concentration of dissolved gas in the transformer oil, it can be judged whether the transformer is faulty. [0003] In the existing on-line monitoring system of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/28
Inventor 冯华姚晖范明韩中杰钱伟杰丁一岷李传才陈刚都鸣强龚培英王洪俭
Owner STATE GRID CORP OF CHINA
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