Power equipment state diagnosis method based on temperature rise load performance, electronic equipment and storage medium

Abstract

The invention provides a temperature rise load performance-based power equipment state diagnosis method, and the method comprises the steps of physical mathematical modeling, equipment temperature rise load performance index calculation, equipment fault state judgment, equipment temperature rise load performance index feature definition, temperature rise load performance index feature curved surface transition diagram diagnosis, temperature rise load performance index feature parameter diagnosis, and temperature rise load performance index characteristic parameter change trend diagnosis. The invention relates to electronic equipment and a storage medium, which are used for executing the method. According to the invention, the load current and temperature relation model is applied to the monitoring and diagnosis of the power equipment, thereby greatly promoting the development of the state monitoring and diagnosis technology of the power equipment, improving the accuracy and reliabilityof the monitoring and diagnosis of the power equipment, and well solving the inherent problems in the state monitoring and diagnosis of the power equipment; the method is an important means for realizing state maintenance management of power equipment and improving the lean level of power production operation management.

Description

technical field [0001] The invention relates to the technical field of on-line monitoring of electric power equipment, in particular to a method for diagnosing the state of electric power equipment based on temperature rise load performance, electronic equipment, and a storage medium. Background technique [0002] In recent years, with the increasingly severe global energy problems, countries all over the world have carried out research work on smart grids. The ultimate goal of the smart grid is to build a panoramic real-time system covering the entire production process of the power system, including power generation, power transmission, power transformation, power distribution, power consumption, and dispatching. Power equipment status monitoring and diagnosis is an important part of the smart grid. The implementation of its key technologies can prolong the service life of equipment, reduce the occurrence of sudden failures, and improve the reliability of power supply of p...

AI Technical Summary

Problems solved by technology

In the industry, a large number of load current and temperature data of field equipment have been collected, most of which only use the function of threshold judgment for alarm. The status monitoring of power equipment has the shortcomings of insufficient diagnosis and early warning functions, which greatly restricts power consumption. Comprehensive promotion and application of equipment condition monitoring technology

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