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Transformer insulation oil deterioration state evaluation method

A technology of transformer insulating oil and degraded state, which is applied in the direction of instruments, special data processing applications, electrical digital data processing, etc.

Active Publication Date: 2018-10-19
GUANGDONG UNIV OF TECH
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  • Description
  • Claims
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Problems solved by technology

[0010] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method for evaluating the deterioration state of transformer insulating oil. Aiming at how to deal with the big data problems involving many types, large quantities and complex relationships involved in the evaluation of the deterioration state of transformer insulating oil, in establishing Based on the large database, the principle of data clustering is used to process and analyze the big data; for the parameters of randomness and fuzzy uncertainty involved in the evaluation of the deterioration state of transformer insulating oil, the theory of probabilistic fuzzy sets is used for processing and analysis

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  • Transformer insulation oil deterioration state evaluation method
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  • Transformer insulation oil deterioration state evaluation method

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Embodiment Construction

[0074] The specific implementation manners of the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0075] Such as figure 1 As shown, a method for evaluating the deterioration state of transformer insulating oil includes the following steps:

[0076] S1: Construct the data set of the characteristic class of transformer insulating oil and calculate the probability value:

[0077] Transformers are built from oil dielectric loss, oil water content, oil gas content, oil breakdown voltage, oil volume resistivity, oil conductivity, oil acid value, oil breakdown voltage, oil furfural content, oil color, etc. Insulating oil feature class data set x SO for:

[0078]

[0079] where x SO1 、x SO2 、x SO3 ,..., For transformer oil dielectric loss, water content in oil, gas content in oil, oil breakdown voltage, oil volume resistivity, oil conductivity, acid value in oil, breakdown voltage in oil, total acid val...

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Abstract

The invention relates to a transformer insulation oil deterioration state evaluation method. The steps are as follows: firstly, data sets of transformer insulation oil characteristic class, insulationpaper characteristic class, gas characteristic class, temperature characteristic class, capacitance characteristic class, partial discharge characteristic class and corresponding probability values are constructed; then, the average values of oil, paper, gas, temperature, capacitance and partial discharge characteristic values, which reflect the deterioration state of the transformer insulation oil, are calculated; thirdly, the evaluation function of the insulation oil deterioration state of the transformer is constructed; and finally, the deterioration state of the transformer insulation oilis evaluated. The invention can evaluate the insulation oil degradation state of the transformer, reflects the uncertainty of the characteristic value of the insulation oil degradation state of the transformer, provides the theoretical guidance for the insulation oil degradation state evaluation of the transformer, and provides the necessary technical support for the operation and maintenance ofthe distribution network.

Description

technical field [0001] The invention relates to the technical field of power systems and automation thereof, in particular to a method for evaluating the degradation state of transformer insulating oil. Background technique [0002] Subsequent maintenance and regular planned maintenance of traditional distribution network main equipment often require a lot of manpower and material resources, and the cost performance of maintenance is not high. With the improvement of equipment automation, the failure mode of time-related equipment only accounts for 6% of all failure modes of equipment, so the time-based periodic maintenance strategy is only effective for 6% of equipment failure modes. Based on regular maintenance combined with experience to determine the maintenance method to extend or shorten the maintenance cycle, and achieved certain results. [0003] With the increasing number of power equipment, the relationship between equipment is becoming more and more complex, the ...

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/00G06Q50/06G06F17/30
CPCG06Q10/06395G06Q10/20G06Q50/06
Inventor 吴杰康
Owner GUANGDONG UNIV OF TECH
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