Nuclear-magnetic-resonance-technology-based method for detecting transformer oil ageing state parameters

A technology of transformer oil and nuclear magnetic resonance, applied in the direction of using nuclear magnetic resonance for analysis, etc., can solve the problems of no corresponding ratio code, meaningless transformer ratio, limited judgment ability, etc.

Active Publication Date: 2013-05-08
STATE GRID HUNAN ELECTRIC POWER CO LTD MAINTENANCE CO +2
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Problems solved by technology

In the three-ratio method, the various gases are aimed at the oil samples in the transformer body, and are not valid for the oil samples in the gas relay. Only the attention value of the content of each gas component or the attention value of the gas growth rate can be used to judge that the transformer is faulty. Gas ratios are only valid when , and have no meaning for normal transformer ratios
At the same time, there are still some other deficiencies in the three-ratio method. For example, there may be no corresponding ratio coding in the actual situation, and for example, the ability to judge multiple faults concurrently is limited, and the membership degree of multiple faults cannot be given. Incomplete reflection, etc.

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  • Nuclear-magnetic-resonance-technology-based method for detecting transformer oil ageing state parameters
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  • Nuclear-magnetic-resonance-technology-based method for detecting transformer oil ageing state parameters

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Embodiment

[0055] Power transformer is an important and key equipment for the safe operation of the entire power grid, and its main insulating medium is transformer oil. Transformer oil is a multi-component mixed-phase oil. With the length of use, the degree of transformer leakage and other faults during field use, the molecular components and physical properties of transformer oil will change, especially its The change of insulation characteristics is a special concern in power engineering.

[0056] A detection method of transformer oil aging state parameters based on nuclear magnetic resonance technology of the present invention, the aging state parameters selected in the present embodiment include oil sample viscosity η, oil sample density D, oil sample furfural content M and oil sample resistivity ρ , and each aging state parameter is obtained after direct nuclear magnetic resonance spectroscopy analysis of the transformer oil sample containing dissolved gas, which specifically inclu...

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Abstract

The invention discloses a nuclear-magnetic-resonance-technology-based method for detecting transformer oil ageing state parameters. The ageing state parameters comprise oil sample viscosity, oil sample density, oil sample furfural content, oil sample resistance and the like. The method comprises the following steps: performing nuclear magnetic resonance spectrum analysis on a solution gas-containing transformer oil sample and detecting the parameters, wherein the oil sample viscosity eta is measured through the formula shown in the abstract, T1 and T2 respectively refer to longitudinal/transverse relaxation time of the oil sample, T1 is measured by an inversion recovery method, T2 is measured by a CPMG method, the oil sample density and the other parameters are measured by measuring the content of CHn functional groups in the oil sample by utilizing a two-dimensional J-resolved spectroscopy nuclear magnetic resonance analysis method according to a relation model between the content of functional groups and the oil sample density and other parameters; and n in the CHn is equal to 0, 1, 2 and 3. The method has the advantages of few sample quantity, simple and direct sampling process, high analysis speed, high analysis accuracy and the like.

Description

technical field [0001] The invention relates to a method for detecting the working condition of electric equipment, in particular to a method for detecting the aging state parameters of a transformer. Background technique [0002] The power transformer is the heart of the power grid, and the safe and stable operation of the transformer is of great importance. The aging monitoring of transformer oil is an important means of transformer fault prediction. [0003] Dissolved gas analysis technology in transformer oil is based on the corresponding relationship between the type of dissolved gas in transformer oil and internal faults to diagnose transformer fault types, fault locations and fault degrees. However, at present, there is no relevant technical solution that can be used to directly detect the dissolved gas content in transformer oil at home and abroad. The conventional dissolved gas analysis technology must extract the gas generated by the transformer fault from the tra...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N24/08
Inventor 魏力争唐立军梁勇超彭石林刘卫东胡睿智
Owner STATE GRID HUNAN ELECTRIC POWER CO LTD MAINTENANCE CO
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