Oil-immersed transformer winding temperature monitoring point selection method, device and equipment

By constructing a simulation model of the oil-immersed transformer winding and improving the genetic algorithm to select monitoring points, the problem of unreasonable monitoring point locations in the existing technology was solved, and high precision and high efficiency of oil-immersed transformer winding temperature monitoring were achieved.

CN121052129BActive Publication Date: 2026-06-19STATE GRID HEBEI ELECTRIC POWER RES INST +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID HEBEI ELECTRIC POWER RES INST
Filing Date
2025-08-27
Publication Date
2026-06-19

AI Technical Summary

⚠Technical Problem

The existing method for selecting temperature monitoring points for oil-immersed transformer windings relies on subjective experience and lacks quantitative evaluation, which makes it impossible to arrange the monitoring points in a specific location, thus failing to achieve optimal monitoring point selection across the entire field and affecting calculation accuracy.

⚗Method used

Based on a pre-built simulation model of an oil-immersed transformer winding, a snapshot matrix is ​​obtained through simulation calculation. Multiple target temperature monitoring points are selected by combining an improved genetic algorithm. The fitness function in the improved genetic algorithm is used for optimization to ensure that the monitoring points can be arranged on the oil-immersed transformer winding.

🎯Benefits of technology

High-precision temperature monitoring on the windings of oil-immersed transformers was achieved, ensuring the reasonable arrangement of monitoring points, improving the accuracy and efficiency of temperature field calculation, and avoiding the occurrence of local optima.

✦ Generated by Eureka AI based on patent content.
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Abstract

This invention provides a method, apparatus, and equipment for selecting temperature monitoring points in oil-immersed transformer windings, relating to the field of transformer temperature monitoring technology. The method includes: simulating the fluid-structure interaction heat transfer process of the oil-immersed transformer windings based on a pre-constructed simulation model, obtaining a snapshot matrix of the oil-immersed transformer windings; determining the fitness function in an improved genetic algorithm based on the snapshot matrix, and selecting multiple target temperature monitoring points for the oil-immersed transformer windings from multiple target nodes based on the improved genetic algorithm; wherein, the target nodes are nodes on the oil-immersed transformer windings where temperature monitoring facilities can be installed. This invention ensures that the selected multiple target temperature monitoring points meet the layout requirements and the temperature monitoring needs of the oil-immersed transformer windings.
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