Transformer temperature rise abnormity monitoring and diagnosis method based on probability statistics

Abstract

The invention discloses a transformer temperature rise abnormity monitoring and diagnosis method based on probability statistics. Operation parameters of transformers are collected, wherein the transformers work with the same model, the same capacitance, the same structure, the same load and the same environmental temperature. The operation parameters comprise upper-layer oil temperature, winding temperature, environmental temperature and operation load data, the upper-layer oil temperature rise and the winding temperature rise of the transformers are calculated out, the method of probability statistics is used for processing two difference values and the transformer with a larger temperature difference is found out and determined as abnormal. Sequentially, the transformer is analyzed and the transformer which dissipates heat abnormally is found out. The application range is wide and the transformer temperature rise abnormity monitoring and diagnosis method is applicable to transformers of different voltage classes and different cooling manners. The transformer temperature rise abnormity monitoring and diagnosis method is high in reliability, low in cost and capable of carrying out real-time calculation with normal computers. Involvement of working personnel is relieved, working errors are reduced and the working efficiency is improved.

Description

technical field [0001] The invention relates to a method for monitoring and diagnosing an abnormal temperature rise of an operating transformer, in particular to a method for monitoring and diagnosing an abnormal temperature rise of a transformer based on probability statistics, belonging to the field of transformer operation and maintenance. Background technique [0002] Oil-immersed transformers have iron loss and copper loss during operation, and these losses will be converted into heat and radiated outward, which will cause the transformer to heat up continuously and the temperature will rise, forming a temperature difference to the surrounding cooling medium (commonly known as temperature rise ), generally speaking, after a period of operation of the transformer, the temperature rise of the hot spot of the winding to the oil and the external environment is a relatively stable state. Generally speaking, the greater the transformer load, the higher the temperature rise of...

AI Technical Summary

Problems solved by technology

However, at present, the calibration of the two oil thermometers can only be carried out when the transformer is out of operation, and the accuracy of the upper layer oil temperature and winding temperature thermometers of the transformer cannot be grasped and cannot be determined during operation.

In addition, affected by the external environment, with the extension of the operating time of some transformers, the heat dissipation capacity of the transformer decreases, and the temperature rise of the transformer increases, resulting in a decrease in the load capacity of the transformer.

However, under the current technical conditions, there is no way to judge and evaluate the temperature rise of the transformer.

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