Analytical method of state running tendency of transmission and distribution equipment

Abstract

The invention provides an analytical method of the state running tendency of transmission and distribution equipment. The method comprises the following steps: step 1, building an information model of the transmission and distribution equipment; step 2, selecting operating characteristics of all parts of the equipment in the information model of the transmission and distribution equipment, building a state characteristic space of the transmission and distribution equipment; calculating dynamic deteriorative degree values corresponding to different operating characteristic parameters of all parts of the equipment, using a fuzzy comprehensive evaluation method of a variable weight to obtain an equipment operating state value, so as to obtain a historical operating state sample on a time sequence; step 3, taking the historical operating state sample of the equipment as an original training sample to carry out neural network training based on a PCA (Principal Component Analysis), so as to obtain a neural network model of the operating state tendency analysis of the transmission and distribution equipment. According to the analytical method provided by the invention, the equipment with better operating state can be discovered timely, the support can be provided for the formulation of a reasonable scheme of the daily maintenance and repair of the transmission and distribution equipment.

Description

technical field [0001] The invention relates to the technical field of informatization and intelligentization for daily maintenance and repair of power transmission and transformation equipment, in particular to a method for analyzing the status and operation trend of power transmission and transformation equipment. Background technique [0002] With the expansion of the grid scale and the increase in the number of power transmission and transformation equipment, users have continuously improved the reliability of power supply. A large amount of historical operation data of the monitoring system has not been effectively utilized. These data contain important information on the operation status of power transmission and transformation equipment, and its potential value needs to be developed urgently. Provide decision support for maintenance and maintenance, reduce the probability of abnormalities in power transmission and transformation equipment, and improve power supply rel...

AI Technical Summary

Problems solved by technology

[0002] With the expansion of the grid scale and the increase in the number of power transmission and transformation equipment, users have continuously improved the reliability of power supply. A large amount of historical operation data of the monitoring system has not been effectively utilized. These data contain important information on the operation status of power transmission and transformation equipment, and its potential value needs to be developed urgently. Provide decision support for maintenance and maintenance, reduce the probability of abnormalities in power transmission and transformation equipment, and improve power supply reliability

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