Modeling method and device for transformer oil density prediction model

Abstract

A method and apparatus for modeling a transformer oil density prediction model. Based on temperature compensation and genetic algorithm, the regression prediction model of the first transformer oil density established by back propagation neural network is optimized, the nonlinear mapping relationship between multi-frequency ultrasonic parameters of transformer oil and oil density is established bygenetic algorithm, and the temperature compensation is used to reduce the effect of temperature on the mapping relation, the regression prediction of transformer oil density is realized, high efficiency, fast and adaptive learning ability, and the transformer oil density can be monitored directly by regression prediction model, The transformer oil density can be obtained in real time, and the prediction result is accurate and reliable, which solves the technical problem that the existing transformer oil density measurement method is time-consuming and labor-consuming, and can not monitor thetransformer oil in real time and accurately reflect the real oil density of the transformer.

Description

technical field [0001] The present application relates to the technical field of transformer fault detection, in particular to a transformer oil density prediction model modeling method and device. Background technique [0002] Transformers play an indispensable role in the power grid. They are the core of energy conversion and transmission, and also the key hub equipment in the first defense system of power grid security. Transformer faults will not only bring economic losses, but also may cause panic and inconvenience to people due to blackouts. Therefore, fault diagnosis of transformers is required for the development of smart grids. The quality of the oil directly affects the operation status of the transformer, and the detection of the parameters of the transformer oil affects the validity of the determination of the operation status of the transformer, and even relates to the operation safety of the entire power grid. [0003] The traditional method to detect the dens...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a transformer oil density prediction model modeling method and device, which solves the problem that the existing transformer oil density test method is time-consuming and laborious, and cannot monitor the transformer oil in real time and accurately reflect the real oil density of the transformer question

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