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Probability forecasting method and system of switch equipment faults

A technology for faults and switching equipment, applied in circuit breaker testing, instruments, calculations, etc., can solve problems such as limited application and promotion, lack of gas decomposition products and equipment failure models or criteria, and data processing of test results

Active Publication Date: 2013-01-02
CHINA ELECTRIC POWER RES INST +5
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Thanks to SF 6 The research on gas decomposition product detection technology for switchgear fault diagnosis is still in its infancy, and the SF detected in operating switchgear 6 There is not a single correspondence between gas decomposition products and equipment status or failure. How to use SF 6 There is a big gap in the research on the prediction of equipment failure probability based on the detection results of gas decomposition products, the relationship between it and the service life of equipment, and the application in equipment life cycle management.
[0005] Currently, for SF in switchgear 6 The on-site detection data of gas decomposition products are generally only simple data statistics, and no data processing is performed on the detection results, due to the lack of SF 6 The model or criterion of gas decomposition products and equipment failure uses personal experience to judge equipment status, and it is difficult to establish a relationship with equipment status or failure, which limits SF to a large extent. 6 Application and popularization of gas decomposition product detection technology

Method used

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  • Probability forecasting method and system of switch equipment faults
  • Probability forecasting method and system of switch equipment faults
  • Probability forecasting method and system of switch equipment faults

Examples

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Embodiment 1

[0098] This embodiment is a method for predicting the probability of partial discharge in switchgear, for partial discharge, with adsorbent partial discharge and without adsorbent partial discharge SF 6 The gas decomposition product detection data is processed for data processing, and then the probability of equipment failure is predicted.

[0099] Select the SF detected by the partial discharge fault 6 The two gases with a large content of gas decomposition products are SOF 2 and S 2 OF 10 , a total of 60 sets of data, the calculated characteristic parameter is SOF 2 with S 2 OF 10 content ratio. SOF generated by Weibull distribution (1), normal distribution (3) and lognormal distribution (5) for three kinds of partial discharge faults 2 and S 2 OF 10 Data statistics, parameter estimation and error analysis are carried out on the detection data, and the distribution parameters (γ and θ, μ and σ) and correlation χ under different fault forms are calculated 2 , listed...

Embodiment 2

[0109] This embodiment is a method for predicting the probability of abnormal heating of switchgear, which is basically the same as the method and principle of Embodiment 1, except that:

[0110] In this example, SF with abnormal heat generation, abnormal heat generation with adsorbent and abnormal heat generation without adsorbent 6 The gas decomposition product detection data is processed for data processing, and then the probability of equipment failure is predicted.

[0111] Select the SF detected by the abnormal heating fault 6 The two gases with a large content of gas decomposition products are SO 2 and H 2 S, a total of 80 sets of data, the calculated characteristic parameter is SO 2 with H 2 S content ratio. SO produced by Weibull distribution (1), normal distribution (3) and lognormal distribution (5) for three kinds of abnormal heating faults 2 and H 2 Data statistics, parameter estimation and error analysis are carried out on the S detection data, and the dis...

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Abstract

The invention provides a probability forecasting method and \system of switch equipment faults. The method comprises the following steps of: A) carrying out data processing on SF6 gas decomposition product detection data that the switch equipment has faults, and selecting a probability distribution which meets the requirements on relevance as a fault distribution; B) establishing an SF6 gas decomposition product probability model according to the selected fault distribution, and thereby predicting the probability that the switch equipment has faults. The system comprises a data processing module and a data modeling module, wherein the data processing module comprises a data counting module, a parameter estimating module and an error analyzing module; and the data modeling module comprises a fault distribution fitting module and a fault probability estimating module. By adoption of the method and the system, the SF6 gas decomposition product detection data in the equipment are processed, the fault probability of the equipment is predicted by using the established SF6 gas decomposition product probability model, and an effective basis is provided for the state judgment and evaluation, the fault diagnosis and the like for SF6 switch equipment.

Description

technical field [0001] The invention belongs to SF 6 The invention relates to the field of fault diagnosis of gas-insulated equipment, and specifically relates to a method and system for probabilistic prediction of switchgear failure. Background technique [0002] SF 6 Gas has excellent insulation and arc extinguishing properties, and is widely used as a gas insulation medium for electrical equipment such as GIS, circuit breakers, transformers, and transformers in 110kV and above power grids. SF 6 The chemical properties of the gas are relatively stable. Under normal operating conditions, the SF of the gas-insulated equipment 6 Gas decomposition products are less. Due to the long-term charged operation of the equipment or under the action of discharge, the SF 6 The gas is easily decomposed to produce SF 4 , SF 2 and S 2 f 2 And many other low fluoride sulfides. If SF 6 No impurities, as the temperature decreases, the decomposition gas can be quickly recombined and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/327G06F17/00
Inventor 颜湘莲王承玉宋杲季严松杨韧陈海伦苏镇西鲁钢姚强刘汉梅
Owner CHINA ELECTRIC POWER RES INST
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