A repair method for phase loss faults on the high voltage side of distribution transformers

Abstract

The invention discloses a repair method for a phase loss fault at a high voltage side of a distribution transformer, and relates to a phase loss judgment method. At present, there are problems such as lack of real-time and insufficient intelligence in phase loss judgment. The invention includes the steps of data acquisition, data matrixing, high-dimensional feature extraction, multi-feature fusion, fault traceability, high voltage phase loss fault diagnosis; MP-Law-based spectral analysis and Ring-Law-based average spectral radius index to further establish LES Statistical index system and its visualization, and then construct the phase-lack criterion index; integrate the operation and environmental information of the distribution network, analyze the influencing factors of the fault, model the evolution process of the equipment state through the time series, and use the random matrix to form the relevant index for the grid line. The status is evaluated to provide guidance for distribution network maintenance arrangements. This technical solution reasonably allocates corresponding resources to each type to realize a reasonable allocation of maintenance resources; optimizes the distribution network maintenance resource allocation to make emergency repairs more accurate.

Description

technical field [0001] The invention relates to a method for judging a lack of phase, in particular to a repair method for a phase loss fault at a high-voltage side of a distribution transformer. Background technique [0002] During the normal operation of the transformer, due to the drop of foreign objects in the environment or overloading of the load, a certain phase line on the high-voltage side is disconnected or the fuse is blown, which will further cause the other two-phase current to increase suddenly and the temperature of the transformer coil to rise. It is very easy to cause the transformer to burn out, cause some unsafe accidents, and cause great personal and economic losses to residents and factory users. In the most traditional operation and maintenance of transformers, due to the low degree of equipment automation, most of the problems are checked by manual inspection and manual reporting, which is extremely inefficient. In recent years, with the popularizatio...

AI Technical Summary

Problems solved by technology

It takes 15 minutes for the intelligent distribution transformer terminal to remotely send data to the intelligent public transformer monitoring system, while the intelligent public transformer monitoring system needs at least 30 minutes (two uploading cycles) to judge the lack of phase on the high-voltage side. The next manual link is in There is also great uncertainty in time, and the real-time performance of the whole process is far from meeting the requirements;

[0006] Second, the degree of intelligence is not deep enough

In the whole process, there are many contents that require manual participation, such as analyzing the content of alarm event information, publishing power outage information, dispatching orders for maintenance, etc. The intelligent and information system used in the process cannot track the whole process of handling this problem and monitoring

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