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Transformer status early warning method based on oil chromatography on-line monitoring

A technology of oil chromatography and transformer, which is applied in the field of early warning of transformer status based on online monitoring of oil chromatography, which can solve the limitations of the three-ratio method or the characteristic gas method, the interval time is long, more than three months, sometimes even one year And other problems, to achieve good application prospects, improve the effect of operational reliability

Active Publication Date: 2017-05-17
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
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Problems solved by technology

Through the improvement of the above methods, the accuracy rate has been improved compared with the traditional diagnostic method, but it does not solve the limitations of the three-ratio method or the characteristic gas method.
[0004] The current oil chromatographic analysis is mainly based on regular testing data, and the interval is long, usually more than three months, sometimes even one year, and the transformer status during the interval is difficult to evaluate

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  • Transformer status early warning method based on oil chromatography on-line monitoring
  • Transformer status early warning method based on oil chromatography on-line monitoring
  • Transformer status early warning method based on oil chromatography on-line monitoring

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] The transformer state early warning method based on oil chromatography on-line monitoring of the present invention comprises the following steps,

[0040] Step (A), performing ETL processing (data extraction processing) on ​​the oil chromatographic online monitoring data, making a graph of the oil chromatographic online monitoring data, and detecting the oil chromatographic monitoring data in real time;

[0041] Step (B), if it is detected that the oil chromatographic monitoring data is a gradual change phenomenon, the gradual change phenomenon includes fast gradual change and slow gradual change, wherein the slow gradual change means that the overall change of gas concentration increases slowly over a long period of time, and the change trend is gentle without acceleration Change trend, this phenomenon is caused by the normal aging of the transformer, and the t...

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Abstract

The invention discloses a transformer state early warning method based on online monitoring of oil chromatography. According to online monitoring data analysis of oil chromatography, changes of oil chromatography online monitoring data are divided into low-speed gradual changes, fast gradual changes, mild abrupt changes and serious abrupt changes. On this basis, a transformer state early warning model is built, a corresponding state maintenance strategy is formulated, the state of a transformer is monitored in real time, potential faults can be found in time, the operational reliability of the transformer is improved, and good application prospects are achieved.

Description

technical field [0001] The invention belongs to the technical field of power transformer state evaluation, and in particular relates to a transformer state early warning method based on oil chromatography on-line monitoring. Background technique [0002] Transformer is one of the most important electrical equipment in the power system, which directly affects the safe operation level of the power system. Once an accident occurs, it will cause huge direct and indirect losses. At present, large-scale power transformers are generally oil-immersed transformers, which are usually composed of iron core, primary winding, secondary winding, oil tank, high and low voltage insulating bushings and other components. The complex composition structure affects the reliability of transformer operation. Transformer faults can be divided into internal faults and external faults according to the transformer body. The faults that occur in the transformer oil tank are called internal faults. Int...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N30/02G01R31/00
Inventor 李斌郭雅娟吴奕郝思鹏陈锦铭张济韬黄伟周超王小波姜海涛
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST