A Fault Diagnosis Method Based on Multiple Reduction and Reliability

Abstract

The invention discloses a fault diagnosis method based on multi-reduction and reliability. The fault diagnosis method comprises the following steps: establishing an original decision table of a fault diagnosis system of a transformer substation according to the actual operation condition of a digital transformer substation; reducing the decision table of the fault diagnosis system of the transformer substation by using an Apriori algorithm without considering a decision attribute of a fault device; acquiring fault region reliability through the reduced decision table of the fault diagnosis system of the transformer substation, determining the regions of faults according to the maximum reliability value, and determining the devices of faults according to the maximum reliability value by reducing a part of original decision table which just comprises the fault region by using the Apriori algorithm and calculating the reliability of the fault device by using the reduced part of original decision table. The method fully utilizes a GOOSE message and a sampling value message of the digital transformer substation and a relatively good diagnostic result can be obtained under the condition that information transmission is not correct.

Description

technical field [0001] The invention relates to the technical field of digital substations, in particular to a fault diagnosis method based on multiple reductions and reliability. Background technique [0002] Substation fault diagnosis system plays an important role in improving the safety and economy of power system. Due to the change of the communication mode of the digital substation, its fault alarm information comes from the GOOSE message and the sampling value message. In view of the multi-source and uncertainty of substation fault alarm information, in order to timely and accurately troubleshoot substation faults, it is necessary to study a method that can quickly and accurately find fault areas. [0003] Due to the development of science and technology in today's society, along with the emergence of intelligent primary equipment such as electronic transformers, the formulation of the IEC61850 standard, and the development of Ethernet technology, the substation has ...

AI Technical Summary

Problems solved by technology

Most of the current diagnostic methods cannot filter a large amount of information, that is to say, most of them need all the information as the original database, which cannot be screened and extracted, which will generate a lot of redundancy for the algorithm and may cause There is a data storm phenomenon, resulting in the data not being well utilized

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