Distribution transformer district trip prediction method, system and device

Abstract

The invention discloses a distribution transformer district trip prediction method, comprising the following steps: obtaining historical data, and establishing a trip prediction model of distributiontransformer trip according to the historical data; wherein the historical data comprises operation data of the historical distribution transformer district and environment data corresponding to the operation data; acquiring target data, and inputting the target data into the tripping prediction model to obtain a prediction result of the target distribution transformer district; wherein the targetdata comprises the operation data of the target distribution transformer district and the environment data corresponding to the operation data. According to the method, the trip prediction model is used to predict target data, so as to obtain a prediction result that whether trip would occur. According to the prediction result, a power grid system can timely discover potential safety hazards of the distribution transformer district to prevent accidents and adjust load distribution in advance, so that the occurrence of tripping is avoided, or the processing speed of the power grid after tripping is improved. The method has important significance for improving the quality of power supply service. Correspondingly, the invention also discloses a distribution transformer district trip prediction system and device with the same beneficial effects.

Description

technical field [0001] The invention relates to the field of power grid distribution transformers, in particular to a trip prediction method, system and device in a distribution transformer station area. Background technique [0002] As the last-level power supply unit for low-voltage users, the distribution transformer station area directly affects the power supply quality and reliability in the station area by the operating status of its power supply equipment. With the continuous development of the economy, the power consumption of industry, commerce and residents is constantly increasing, especially during the Spring Festival and high temperature in summer, the power consumption load is extremely large, so that the distribution transformer is often in an overloaded operation state, and transformer fault trips often occur. [0003] At present, for the problem of tripping in the distribution transformer area, there are only post-processing measures such as replacing the sw...

AI Technical Summary

Problems solved by technology

[0003] At present, for the problem of tripping in the distribution transformer area, there are only post-processing measures such as replacing the switch, adjusting the line shunt load, and increasing the capacity of the distribution transformer. The speed of accident response and grid cooperation is not fast enough, so that the power supply department is often in a passive state and cannot actively adjust for tripping. Grid operation status

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