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A Clustering Method Based on Partial Density of Partial Discharge Pulses

A technology of partial discharge pulse and local density, applied in the direction of testing dielectric strength, measuring electricity, measuring electrical variables, etc., can solve the problems of heavy workload and poor accuracy, to reduce difficulty, ensure accuracy and effectiveness, reduce The effect of workload

Active Publication Date: 2021-04-02
YUNNAN POWER GRID CO LTD KUNMING POWER SUPPLY BUREAU
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the problems of heavy workload and poor accuracy existing in current partial discharge clustering methods, the present invention aims to provide a clustering method based on the local density of partial discharge pulses to achieve accurate classification of different types of partial discharge pulses

Method used

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  • A Clustering Method Based on Partial Density of Partial Discharge Pulses
  • A Clustering Method Based on Partial Density of Partial Discharge Pulses
  • A Clustering Method Based on Partial Density of Partial Discharge Pulses

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Embodiment 1

[0042] The research object of this embodiment is 35kV XLPE (YJV22-26 / 35-3×240) power cables, and the partial discharge point is located at the cable accessories. This embodiment uses high-frequency current sensors to detect different types of defects on the power cable accessories. The partial discharge pulse signal x m (t i ) is detected on the ground wire, x m (t i ) is the i-th moment t in the m-th partial discharge pulse i The sample points collected.

[0043] The local amplified pulse signal collected above is clustered and analyzed using the following clustering method based on the partial density of the partial discharge pulse, as shown in figure 1 As shown, it includes the following steps: S1 extracts the equivalent duration T of the partial discharge pulse signal m and equivalent bandwidth F m Feature quantity, equivalent time width T m and equivalent bandwidth F m Calculated according to the following formula:

[0044]

[0045]

[0046] In the formula,...

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Abstract

The invention discloses a clustering method based on partial discharge pulse partial density. The clustering method comprises the following steps: firstly acquiring partial density and distance of a partial discharge pulse signal by utilizing equivalent time width and equivalent aggregation of the partial discharge pulse signal, describing the partial discharge pulse signal according the two parameters of the partial density and the distance of the partial discharge pulse signal, thereby realizing the clustering analysis on the partial discharge pulse signal. The human intervention is reduced,the accuracy of the clustering analysis is improved, and the method still has good clustering effect on the partial discharge pulse signal with characteristic quantity of non-spherical distribution.

Description

technical field [0001] The invention belongs to the technical field of electric communication diagnosis, and relates to a partial discharge diagnosis technology in a power system, in particular to a clustering method based on partial density of partial discharge pulses. Background technique [0002] Partial discharge (PD) (referred to as partial discharge) refers to the phenomenon of discharge in local areas of power equipment. It is not only one of the manifestations of power cable insulation aging, but also the main cause of further deterioration of power cable insulation and insulation failure. one of the reasons. If the partial discharge of power equipment is not dealt with, the discharge phenomenon will continue to develop, eventually leading to insulation failure of power equipment, causing power outages, and causing a lot of waste of manpower and financial resources. Through the partial discharge detection and analysis of power cables, it can provide a reliable evalu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/12
CPCG01R31/1227
Inventor 韦瑞峰陈永琴赵荣普陈欣赵威王清波白双全杨进万子逸周涛张国志王朝宇李梦滔朱有玉魏敏敏
Owner YUNNAN POWER GRID CO LTD KUNMING POWER SUPPLY BUREAU
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