A method for improving the accuracy of abnormal detection of transformer equipment

Abstract

The present application provides a method for improving the accuracy of abnormality detection of transformer equipment, including the following steps: a sensing parameter management module periodically reads the sensing parameters of the transformer and stores them in a database; the temperature detection module obtains the current time point T_current Oil temperature reading Temperature_current, and find the last time point T_last when T_current is less than the threshold Threshold1 than Temperature_current; the winding state monitoring module calculates the primary winding voltage stabilization time T0 and the secondary winding load stabilization time T1, and then selects it from T0 and T1 The minimum value of the duration is assigned to T_min; the temperature abnormality determination module determines whether (T_current-T_last) is less than T_min, and if so, reports the abnormal temperature indication of the transformer. By establishing the correlation between the external factors and internal factors of transformer heat production, and then through the consistency of the two, the abnormal temperature events caused by the uncertainty of multiple dimensions inside the transformer can be diagnosed, thereby improving the accuracy of monitoring and early warning of abnormal state of the transformer. and timeliness, effectively protect the safe operation of transformer equipment and power supply systems.

Description

technical field [0001] The present application relates to the field of transformer monitoring, and in particular, to a method for improving the accuracy of abnormality detection of transformer equipment. Background technique [0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute prior art. [0003] Transformer is an important piece of equipment in the power system, and its operational reliability is of great importance to the safe and reliable operation of the power system. According to relevant statistics, the average accident rate of transformers of 110kV and above is about 0.69%, among which, due to the over-temperature operation of the winding, the insulation is aged, the winding is broken down, and the transformer burnout accident accounts for a considerable proportion. It can be seen that the measurement and monitoring of transformer temperature is of great significance for the...

AI Technical Summary

Problems solved by technology

[0007] The existing monitoring strategy for transformer abnormality is mainly based on whether the temperature exceeds the threshold to determine whether the transformer is abnormal. Obviously, if the temperature threshold is set too low, it is easy to cause false alarms in transformer abnormality judgment, which will cause troubles for normal power supply and lead to Huge maintenance costs; if the threshold is set too high, when it is determined that the temperature of the transformer exceeds the threshold, the transformer is likely to be damaged because it has been in a high temperature state for a long time, thus prolonging the power supply recovery period and easily causing huge sums of money due to equipment damage loss of wealth

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