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An interval-valued fuzzy set method for evaluating the aging state of transformer insulating paper

A technology of aging state and interval value, which is applied in transformer testing, dielectric strength testing, etc.

Active Publication Date: 2020-02-04
GUANGDONG POWER GRID CO LTD +1
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Problems solved by technology

Aiming at how to deal with the big data problems involving many types, large quantities and complex interrelationships involved in the evaluation of the insulation state of distribution transformers, on the basis of establishing a large database, knowledge mining and reasoning principles are used to process and analyze the big data; for distribution transformer insulation The random and fuzzy uncertain parameters involved in state evaluation are processed and analyzed by using the theory of interval valued fuzzy sets, and then the aging state of transformer insulation paper is accurately evaluated

Method used

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  • An interval-valued fuzzy set method for evaluating the aging state of transformer insulating paper
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  • An interval-valued fuzzy set method for evaluating the aging state of transformer insulating paper

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Embodiment 1

[0087] figure 1 Step 1 in describes the process and method of transformer insulation paper aging characteristic data processing. The characteristic parameters of transformer insulating paper aging can be collected from public literature (journal papers, dissertations, etc.), and the characteristic data of distribution transformer insulating paper aging can also be collected from the public. Using interval-valued fuzzy set mathematical theory, the collected characteristic parameters and their characteristic values ​​are processed by interval value and interval-valued fuzzy set to determine the characteristic parameters for evaluating the aging state of transformer insulating paper. The characteristic parameters include oil dielectric loss, oil content Water content, gas content in oil, oil breakdown voltage, oil volume resistivity, oil conductivity, acid value in oil, oil breakdown voltage, total acid value in oil, furfural content in oil, oil color, paper loss, paper content ...

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Abstract

The invention relates to an interval value fuzzy set method for aging state evaluation of insulation paper of a transformer, and belongs to the fields of a power system and automation thereof. To solve the problem that big data related to insulation state evaluation of the distribution transformer is diversified, large in amount and complex in mutual relation, knowledge mining and inference principles are used on the basis of establishment of a big data library to process and analyze the big data; and aimed at random and fuzzy nondeterminant parameters related to insulation state evaluation ofthe distribution transformer, an interval value fuzzy set theory is used for processing and analysis, and the aging state of the insulation paper of the transformer is evaluated accurately.

Description

technical field [0001] The invention relates to the field of electric power system and automation thereof, in particular to an interval value fuzzy set method for evaluating the aging state of transformer insulation paper. 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. Statistical research with a large amount of data shows that with the improvement of equipment automation, the failure mode of time-related equipment only accounts for 6% of all equipment failure modes, 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 equipm...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/12
CPCG01R31/12G01R31/62
Inventor 陶飞达吴杰康曾振达张丽平邹志强黄智鹏杨夏
Owner GUANGDONG POWER GRID CO LTD
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