Method and terminal device for predicting winding hot-spot temperature of transformer

Abstract

The invention is applicable to the technical field of transformers, and provides a method and terminal device for predicting the winding hot-spot temperature of a transformer. The method comprises thesteps of collecting temperature data of a winding hot-spot of the transformer, and enabling the collected temperature data to serve as sample data; training an artificial neural network model according to a particle swarm algorithm and the sample data to obtain optimal model parameters of the artificial neural network model, and enabling the artificial neural model based on the optimal model parameters to serve as a prediction model; collecting operating parameters and structural parameters of the transformer; and performing winding hot-spot temperature prediction on the transformer accordingto the operating parameters, the structural parameters and the prediction model. According to the invention, the particle swarm algorithm is introduced into parameter optimization for the artificialneural network model, and prediction is performed on the winding hot-spot temperature of the transformer by using the optimized prediction model, so that the accuracy of prediction obtained by the prediction model for the winding hot-spot temperature of the transformer can be improved.

Description

technical field [0001] The invention belongs to the technical field of transformers, in particular to a method for predicting the hot spot temperature of transformer windings and terminal equipment. Background technique [0002] With the constant changes in the world situation and the rapid development of my country's economy, the development of electric power safety has entered a new historical development stage. Modern society has higher and higher requirements for the reliability of power supply, and the status of the electric power safety industry is more important than ever before. All the time is more important, and power safety is already one of the outstanding issues. [0003] Among the many factors related to transformer insulation aging, temperature rise is one of the most important factors. Power transformer insulation is generally composed of organic and inorganic insulating materials. These insulating materials have a certain heat resistance limit. If this limit...

AI Technical Summary

Problems solved by technology

[0006] In view of this, an embodiment of the present invention provides a transformer winding hot spot temperature prediction method and terminal equipment to solve the current problem of low accuracy of transformer winding hot spot temperature prediction

Images