A Transformer Fault State Evaluation Method

Abstract

The invention relates to a transformer fault state evaluation method, the steps are as follows: firstly, construct the data sets of transformer insulating oil feature class, insulating paper feature class, gas feature class, temperature feature class, capacitance feature class, partial discharge feature class and calculate corresponding Then, calculate the average value of the oil, paper, gas, temperature, capacitance, partial discharge characteristic value reflecting the transformer fault state; then, construct the transformer fault state evaluation function; finally, carry out the transformer fault state evaluation; the present invention It can evaluate the transformer fault state, reflect the uncertainty of the characteristic value of the transformer fault state, provide theoretical guidance for the evaluation of the transformer fault state, and provide the necessary technical support for the operation and maintenance of the distribution network.

Description

technical field [0001] The invention relates to the technical field of electric power system and its automation, in particular to a transformer fault state evaluation method. 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 society has higher and highe...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a transformer fault state evaluation method, aiming at how to deal with the big data problems involving many types, large quantities and complex relationships involved in the transformer fault state evaluation, on the basis of establishing a large database Use the principle of data clustering to process and analyze big data; for the parameters of randomness and fuzzy uncertainty involved in the evaluation of transformer fault status, use the theory of probability fuzzy sets to process and analyze

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