Fuzzy comprehensive evaluation method for health state of digital power transformer

Abstract

The invention discloses a fuzzy comprehensive evaluation method for the health state of a digital power transformer. The fuzzy comprehensive evaluation method comprises the steps: 1, selecting evaluation indexes influencing the state of the digital power transformer, and carrying out hierarchical division; 2, dividing evaluation states of the digital power transformer; 3, performing priority and deterioration direction classification on the evaluation indexes; 4, establishing membership functions of the evaluation indexes of each category, and determining weights of the evaluation indexes of different levels through a BP neural network to obtain a fuzzy evaluation matrix; and 5, performing fuzzy operation by adopting the fuzzy evaluation matrix, and normalizing an operation result to obtain a final evaluation result. According to the method, evaluation indexes and evaluation levels are determined and different weights are configured according to the influence on the health state of the digital power transformer, so that the evaluation result is more reasonable and accurate, the digital power transformer can be effectively evaluated, and the method has relatively high credibility.

Description

technical field [0001] The invention belongs to the technical field of electric equipment state evaluation, and relates to a fuzzy comprehensive evaluation method for the health state of a digitized power transformer using a BP neural network to determine index weights. Background technique [0002] As one of the key measurement equipment in the power system, the digital power transformer is easily affected by external temperature, humidity, pressure, vibration, noise and other factors during operation, which makes the measurement accuracy of the electronic transformer in long-term operation stable. Therefore, it is necessary to monitor whether the digital power transformer of the power system is in a healthy operating state. [0003] At present, fuzzy comprehensive evaluation measures are mainly used to monitor the operation status of digitalized power transformers in power systems, but it has the following disadvantages: the determination of index weights has singleness an...

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Problems solved by technology

[0002] As one of the key measurement equipment in the power system, the digital power transformer is easily affected by external temperature, humidity, pressure, vibration, noise and other factors during operation, which makes the measurement accuracy of the electronic transformer in long-term operation stable. Therefore, it is necessary to monitor whether the digitalized power transformer of the power system is in a healthy operating state

[0003] At present, fuzzy comprehensive evaluation measures are mainly used to monitor the operation status of digitalized power transformers in power systems, but it has the following disadvantages: the determination of index weights has singleness and subjectivity. Determine the fuzzy comprehensive evaluation method of the weight of the index, and carry out the evaluation and detection of the health state of the digital power transformer

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