A method, device, equipment and medium for monitoring temperature of a converter transformer winding

By establishing a two-dimensional equivalent electromagnetic and thermal flow model, combined with linear regression and fine-tuning models, the problem of insufficient winding temperature detection accuracy was solved, enabling more accurate temperature prediction and improving the safety of converter transformers.

CN118168686BActive Publication Date: 2026-02-27CONSTR BRANCH OF STATE GRID JIANGSU ELECTRIC POWER CO LTD
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Patent Information

Application Number
CN202410323888.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-03-21
Publication Date
2026-02-27
Estimated Expiration
2044-03-21

AI Technical Summary

Technical Problem

Existing winding temperature detection methods have insufficient accuracy in their calculations and fail to fully consider the important factors affecting winding temperature, resulting in inaccurate calculation results.

Method used

A two-dimensional equivalent electromagnetic model and a flow-temperature model of the converter transformer are established. Through electromagnetic simulation and fluid-temperature field simulation, a linear regression model and a fine-tuning model are constructed, and the winding temperature is accurately calculated by combining multiple independent variables.

Benefits of technology

This improves the accuracy of winding temperature calculation, enabling more accurate prediction of hot spots and average temperatures on the grid and valve sides, thus enhancing the safe and reliable operation of converter transformers.

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Abstract

The application discloses a kind of converter transformer winding temperature monitoring method, device, equipment and medium, it is related to power transformer technical field, comprising the following steps: establishing the two-dimensional equivalent electromagnetic model of converter transformer, and electromagnetic simulation is carried out, obtain winding loss;Winding loss is as the heat source of two-dimensional flow-temperature field of two-dimensional equivalent flow-temperature model to two-dimensional equivalent flow-temperature model carries out fluid-temperature field simulation;With inlet oil temperature, inlet flow and ambient temperature as input variable, net side hot spot temperature, net side average temperature, valve side hot spot temperature and valve side average temperature as output value, construct linear regression model;Fine tuning model is constructed, linear regression model is combined with fine tuning model, obtain hybrid model.The application is with multiple independent variables as input, with winding hot spot and average temperature as output to establish the basic model based on linear regression and the fine tuning model with the error of winding hot spot and average temperature as output, and the two are combined to obtain hybrid model, the output result of the hybrid model can be with higher precision approximate simulation result, greatly improve the precision of winding temperature calculation.
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