Probabilistic fuzzy set method for evaluating ageing state of transformer

Abstract

The invention discloses a probabilistic fuzzy set method for evaluating an ageing state of a transformer. The probabilistic fuzzy set method comprises the following steps: first of all, constructing data sets of a transformer insulating oil characteristic type, an insulating paper characteristic type, a gas characteristic type, a temperature characteristic type, a capacitance characteristic type and a local discharge characteristic type for reflecting a change of the ageing state of the transformer, and calculating corresponding probabilistic values; then, constructing data sets of transformeroil, paper, gas, temperature, capacitance and local discharge test types and calculating corresponding probabilistic values; next, constructing a distance measure function between a test type probabilistic fuzzy set and a characteristic type probabilistic fuzzy set; and at last, evaluating the ageing state of the transformer. According to the probabilistic fuzzy set method provided by the invention, the ageing state of the transformer can be evaluated, the uncertainty of a characteristic value of the ageing state of the transformer is reflected, a theoretical guidance is provided for evaluation of the ageing state of the transformer, and a necessary technical support is provided for operation and maintenance of a power distribution network.

Description

technical field [0001] The invention relates to the technical field of power system and its automation, in particular to a probability fuzzy set method for transformer aging state evaluation. 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...

AI Technical Summary

Problems solved by technology

In view of how to deal with the big data problems involving many types, large quantities and complex relationships involved in the assessment of transformer aging status, on the basis of establishing a large database, the principle of data clustering is used to process and analyze the big data; Parameters of stochastic and fuzzy uncertainties, processed and analyzed using the theory of probabilistic fuzzy sets

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