Out-of-limit operating characteristic analysis method for transformers

Abstract

The invention aims at providing an out-of-limit operating characteristic analysis method for transformers. The out-of-limit operating characteristic analysis method comprises the following steps of firstly acquiring historical load data of the transformers, performing data preprocessing, judging out-of-limit operating ranges of the transformers according to load out-of-limit threshold values (a) of the transformers, extracting out-of-limit characteristic indexes, including the total out-of-limit operating time, the out-of-limit operating frequency and the average out-of-limit operating time, of each single transformer, and forming an out-of-limit characteristic sample of the transformer; secondly performing standardized processing on an out-of-limit characteristic sample set of the transformers, and performing clustering on the out-of-limit characteristic sample set by a DBSCAN (density-based spatial clustering of applications with noise) clustering algorithm; finally performing characteristic analysis on a clustering result so as to analyze the out-of-limit characteristics of all the clustered transformers, and analyzing the load conditions of the transformers according to the out-of-limit characteristics.

Description

technical field [0001] The invention relates to the calculation of the transformer limit characteristic index, in particular to a method for realizing transformer load grouping by calculating the transformer limit characteristic index. Background technique [0002] As the most important equipment in the power system, the power transformer ensures its long-term safe operation is the prerequisite for obtaining high economic benefits. The oil-paper insulation inside the transformer, especially the insulating paper, is gradually aging due to various factors such as oxygen, temperature, moisture and acid during the operation of the transformer. When the degree of polymerization of the insulating paper decreases to a certain level, the insulation life of the transformer will be reduced. declared terminated. For economic reasons or to ensure uninterrupted power supply, the transformer will enter into high-load operation, or even over-limit operation, and over-limit operation will ...

AI Technical Summary

Problems solved by technology

[0003] The traditional hierarchical clustering and partitioning clustering algorithms are greatly affected by noise and the clustering results are unstable

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