Transformer operation state monitoring method based on novel membership function

Abstract

The invention relates to a transformer operation state monitoring method based on a novel membership function, and the method comprises the following steps: (1), collecting the operation condition data, electrical test data and fault record data of a transformer, and carrying out the normalization processing of the data; (2) solving the relationship between the equipment commissioning time and thehealth index HI of the transformer, taking the HI as a reference variable, and solving a semi-trapezoidal semi-ridge shape and a semi-trapezoidal semi-triangular membership function considering the influence of the health index by utilizing index distribution; and (3) substituting the normalized data into the membership function to obtain the operation condition of each state quantity of the transformer. Compared with a traditional method, the improved membership function can change along with the change of the commissioning time of the transformer, the evaluation result of the running stateis close to be strict along with the increase of the commissioning time, and the aging fault process of transformer equipment is better met.

Description

technical field [0001] The invention relates to the technical field of transformer operation state detection and evaluation, in particular to a transformer operation state monitoring method based on a novel membership function. Background technique [0002] In recent years, with the development of power system maintenance technology, the maintenance method of power transformers has gradually developed from periodic maintenance to condition-based maintenance. As the basis of condition-based maintenance, it is necessary to evaluate the operation status of transformers that have been put into operation. Fuzzy analytic hierarchy process, as a transformer operating state evaluation method, can comprehensively consider reference indicators such as the transformer's electrical test results, operating environment, fault and maintenance history, and family quality defects, and obtain the transformer operating state objectively and accurately. [0003] When using the fuzzy analytic h...

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Problems solved by technology

[0005] In view of this, the present invention aims at the disadvantage that the membership function in the fuzzy analytic hierarchy process of the traditional transformer operating state cannot reflect the shortcomings of the accelerated aging and failure of the transformer equipment as the operation time increases, and combines the concept of the health index of the transformer to propose a membership degree The calculation method of the function makes the distribution of the membership function change with the change of the health index, so that the membership function can reflect the accelerated aging failure law of the transformer equipment as the operation time increases

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