A method and system for determining state of power system transformer device

Abstract

The invention provides a method and a system for determining the state of transformer equipment of a power system. The method comprises the following steps: processing acquired characteristic value data of N gases for determining the state of the transformer equipment of the power system to generate an effective sample set, and distributing the effective sample set according to a preset proportionto generate a training set and a test set; and determining an optimal logistic classifier according to the established logistic regression model, the training set and the test set, and outputting thestate of the transformer of the power system by using the optimal logistic classifier according to the characteristic value data of the N gases in the actual operation of the transformer equipment. According to the method, a positive sample synthesis algorithm is utilized, the accuracy of the model is improved to a certain extent, the requirement of the model for data is low, the analysis capacity for massive transformer gas characteristic values is high, classification can be well achieved, and then the running state of the transformer is judged.

Description

technical field [0001] The present invention relates to the field of power equipment monitoring, and more particularly, to a method and system for determining the status of power system transformer equipment. Background technique [0002] The traditional power equipment maintenance method is mainly based on the dissolved gas analysis method (Dissolved Gas Analysis, DGA) which analyzes the components and content of the dissolved gas in the oil of the equipment. In recent years, a large number of scholars have widely applied various big data analysis methods to the condition-based maintenance of power equipment, and achieved good results. The main methods are: non-parametric methods such as BP neural network, fuzzy clustering, random forest and support vector machine. These methods have greatly improved the accuracy of state evaluation to a certain extent, but the results are still relatively vague and cannot The display shows the correlation between each gas component and th...

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Problems solved by technology

[0003] In order to solve the technical problem that the results of the power equipment maintenance method in the prior art are relatively vague, and the correlation between each gas component and the power equipment cannot be displayed, the present invention provides a method for determining the state of the power system transformer equipment, The methods include:

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