Partial discharge direction finding method and system based on clustering and wireless sensor array

Abstract

The invention discloses a partial discharge direction finding method based on clustering and a wireless sensor array. The wireless sensor array includes several wireless directional sensors. Amplitude data of several sets of partial discharge signals, wherein each set of data corresponds to a corresponding time point, and each data in each set of data corresponds to a corresponding wireless directional sensor; based on the amplitude data of the several sets of partial discharge signals determined Orientation results corresponding to each set of data; performing clustering processing on the orientation results to determine the direction of the partial discharge source measured during the period of time. This method can realize the accurate positioning of the partial discharge source in the direction of partial discharge detection, and at the same time has lower equipment cost, smaller equipment volume, better equipment portability, better environmental adaptability and higher direction finding accuracy and accuracy. In addition, the invention also discloses a corresponding direction finding system.

Description

technical field [0001] The invention relates to a partial discharge direction finding method and system in the field of power system power transmission and transformation equipment operation and maintenance, in particular to a partial discharge direction finding method and system based on clustering and wireless sensor arrays. Background technique [0002] The discharge that only occurs in a local area in the insulator, without passing through the conductors to which the voltage is applied, can occur near the conductor or in other places. This phenomenon is called partial discharge (PD). Partial discharge is the main cause of insulation failure of electrical equipment, especially high-voltage power equipment. Strong partial discharge will quickly reduce the insulation strength, which is an important factor that causes insulation damage of high-voltage power equipment. Therefore, it is necessary to carry out status monitoring based on partial discharge information for electri...

AI Technical Summary

Problems solved by technology

This type of method requires nanosecond-level time synchronization between sensors and a sampling rate of at least several GSa / s, resulting in high hardware costs, large equipment, and poor portability.

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