Transformer fault state evaluation method

Abstract

The invention relates to a transformer fault state evaluation method comprising the steps of: firstly, constructing a data set of a transformer insulating oil characteristic class, an insulating papercharacteristic class, a gas characteristic class, a temperature characteristic class, a capacitance characteristic class, and a partial discharge feature class, and calculating a corresponding probability value; then, calculate the average value of oil, paper, gas, temperature, capacitance, and partial discharge characteristic values reflecting the fault state of a transformer; further, constructing a transformer fault state evaluation function; and finally, performing transformer fault state evaluation. The transformer fault state evaluation method can evaluate the fault state of the transformer, reflect the uncertainty of the characteristic value of the transformer fault state, provides theoretical guidance for the transformer fault state evaluation, and provide a necessary technical support for the operation and maintenance of a distribution network.

Description

technical field [0001] The present invention relates to the technical field of power system and automation thereof, in particular to a transformer fault state evaluation method. Background technique [0002] The post-event maintenance and regular planned maintenance of the main equipment of the traditional distribution network often require a lot of manpower and material resources, and the cost-effectiveness of maintenance is not high. With the improvement of equipment automation, the time-related equipment failure modes only account for 6% of all equipment failure modes, so the time-based periodic maintenance strategy is only effective for 6% of the equipment failure modes. The maintenance method of extending or shortening the maintenance cycle is decided by the combination of experience and regular maintenance, and has 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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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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