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Gas insulated substation (GIS) partial discharge online monitoring system and fault mode identifying method thereof

A partial discharge monitoring and failure mode technology, applied in the direction of testing dielectric strength, etc., can solve the problems of low recognition rate, increase the uncertainty of final fault diagnosis, and no pattern recognition function, etc., to achieve improved recognition accuracy, simple structure, and training The effect of shortening the time

Active Publication Date: 2014-12-10
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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  • Abstract
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  • Application Information

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Problems solved by technology

However, most of the current domestic partial discharge UHF online monitoring systems do not have the pattern recognition function, and the recognition rate with the pattern recognition function is relatively low, which increases the uncertainty of the final fault diagnosis

Method used

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  • Gas insulated substation (GIS) partial discharge online monitoring system and fault mode identifying method thereof
  • Gas insulated substation (GIS) partial discharge online monitoring system and fault mode identifying method thereof
  • Gas insulated substation (GIS) partial discharge online monitoring system and fault mode identifying method thereof

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Embodiment 1

[0074] Embodiment 1: In the specific implementation of the present invention, after the characteristic spectrogram is generated, the statistical operator is calculated, and the simplified statistical operator of this embodiment is 7, which are respectively the skewness Sk, the prominence Ku, and the number of local peaks Pe, discharge asymmetry Q, phase asymmetry The cross-correlation factor cc and phase median value μ are obtained through general formulas. Let the seven statistical operators be a 1 ,a 2 …a 7 , let T be the decision table, the condition attributes are 7 statistical operators; the decision attributes are 4 types of faults, numbered 1, 2, 3, 4; the number of sample sets is 9, let it be x 1 ,x 2 ,...,x 9 ; The decision table T is as follows:

[0075]

[0076]

[0077] According to the steps mentioned earlier, the decision table is reduced.

[0078] The principle of reduction is, firstly, after the feature spectrum is generated, the statistical opera...

Embodiment 2

[0095] Embodiment 2: In this embodiment, GIS partial discharge is monitored online and the collected data is processed through the online monitoring software system to obtain 31 sample data of characteristic values ​​as input, and the five types of defects are identified by pattern classification, and the input The sample data is fuzzified, knowledge rule extraction and reduction are preprocessed as the output of the neural network, corresponding to five types of faults. Corresponding to five faults: fixed protrusions on the busbar, fixed protrusions on the inner wall, particles on the surface of the pot insulator, bubbles inside the pot insulator, and free metal particles, the expected outputs are A (1 0 0 0 0) , B (0 1 0 00), C (0 0 1 0 0), D (0 0 0 1 0), E (0 0 0 0 1). The output results are shown in Table 1.

[0096]

[0097] Table 1

[0098] The recognition results show that the system has realized the long-term on-line monitoring function of GIS partial discharge, a...

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Abstract

The invention discloses a gas insulated substation (GIS) partial discharge online monitoring system and a fault mode identifying method thereof. The monitoring system comprises an ultrahigh frequency sensor, a signal preprocessing subsystem and a data processing subsystem, wherein the data processing subsystem comprises a monitoring and spectrogram display module, an off-limit alarm module and a mode identifying module; and a partial discharge signal acquired by the ultrahigh frequency sensor is transmitted into the data processing subsystem after being processed by the signal preprocessing subsystem so as to realize the monitoring and spectrum display of the partial discharge and the functions of off-limit alarm and fault mode identification. The system and the method have the beneficial effects that by adopting the GIS partial discharge online monitoring system and the fault mode identifying method thereof, the long-term online monitoring function on the partial discharge of the GIS is realized, and meanwhile, the fault type of the partial discharge can be identified well by utilizing the mode that a neural network identifying method based on a fuzzy rough set.

Description

technical field [0001] The invention relates to the field of on-line monitoring of electric power systems, in particular to a GIS partial discharge on-line monitoring system and a fault mode recognition method thereof. Background technique [0002] Gas Insulated Substation (GIS) has been widely used in power systems due to its compact structure, small footprint, unaffected by the external environment, high operational reliability, and long maintenance cycle. occupy an increasingly important position in the system. [0003] The main form of early failure of GIS insulation is partial discharge, and various defects caused during manufacturing, installation, transportation and operation may lead to different degrees of partial discharge. Partial discharge is not only a sign of equipment insulation degradation, but also an important cause of insulation degradation. On-line monitoring of partial discharge on GIS equipment can effectively find its internal insulation defects, espe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/12
Inventor 李秀卫郑建王辉袁海燕云玉新
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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