Secondary equipment fault diagnosis and early warning method based on grey correlation analysis

Abstract

The invention discloses a secondary equipment fault diagnosis and early warning method based on a grey correlation analysis. The method includes steps: firstly, obtaining monitoring state parameters of fault diagnosis and monitoring early warning of secondary equipment of an intelligent substation; then selecting one of the monitoring state parameters as a behavior parameter for representing faults, regarding other monitoring state parameters as factor parameters which possibly cause the faults, and forming an equipment fault characteristic behavior sequence and a correlation factor behavior sequence by employing the same investigation target serial number; then performing dimensionless transformation, and calculating the correlation coefficient and the grey correlation degree of the correlation factor behavior sequence and the characteristic behavior sequence on the basis; and obtaining the grey correlation degrees according to calculation, and finding the grey correlation degree having the maximum correlation degree with the fault characteristic behaviors of the secondary equipment, wherein the grey correlation degree having the maximum correlation degree is the most relevant factor. According to the method, the grey correlation degree analysis of all the monitored factor parameters which possibly cause the faults is conducted so that fault diagnosis and early warning of the secondary equipment can be realized.

Description

technical field [0001] The invention relates to the technical field of state monitoring and fault diagnosis of electric power system equipment, in particular to a method for fault diagnosis, monitoring and early warning of secondary equipment of an intelligent substation based on gray correlation analysis of equipment state monitoring characteristic quantities. Background technique [0002] With the development of power transmission and transformation technology in China, the scale of the power grid is continuously expanding, and the voltage level of power transmission and transformation is also increasing. This makes the number and complexity of power equipment in substations continue to increase, and the importance of secondary equipment in substations is also increasing The normal and stable operation of the secondary equipment directly affects the safe and reliable operation of the primary system of the substation. [0003] At present, the fault diagnosis and early warni...

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Problems solved by technology

[0003] At present, the fault diagnosis and early warning of secondary equipment mainly rely on prior knowledge, and analyze the cause of the fault through rule reasoning and judgment. However, due to the limited rule base, the maintenance of the rule base is also complicated, and the causes of many faults cannot be analyzed well and quickly. Find

In addition, there are often many reasons for the failure of secondary equipment, which are the main factors leading to the failure, which are secondary factors, and there is currently no good way to distinguish

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