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Information aggregation framework-based traveling wave fault and interference recording data identification method

A technology for recording wave data and traveling wave faults, which is applied in character and pattern recognition, instruments, general control systems, etc., and can solve problems such as heavy manual workload and complexity

Active Publication Date: 2016-11-09
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, when selecting traveling-wave fault recording data from a large number of traveling-wave recording data, it needs to be realized by comparing the information of protection trips, and the manual workload is large and complicated.

Method used

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  • Information aggregation framework-based traveling wave fault and interference recording data identification method
  • Information aggregation framework-based traveling wave fault and interference recording data identification method
  • Information aggregation framework-based traveling wave fault and interference recording data identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] Input 313 pieces of traveling wave interference recording data and 71 pieces of traveling wave fault recording data after data preprocessing, and the sample data is a 384×16120 matrix.

[0074] According to the first step, db4 discrete wavelet transform is used to complete the wavelet decomposition. Among them, the layer number m of discrete wavelet decomposition is selected as 7 layers, and the wavelet decomposition coefficients are respectively D 1 ,D 2 ,D 3 ,D 4 ,D 5 ,D 6 ,D 7 , A 1 . Calculate the wavelet energy entropy at each scale of the traveling wave recording data according to formulas (1)-(3)

[0075] According to step 2, using the mean and variance of wavelet energy at each scale in formulas (4)-(5), we get

[0076] 24×384 feature matrix.

[0077] According to step 3, the principal component analysis method is used to reduce the dimension, and the first 5 principal components are extracted, and the contribution rate is 83.28%. figure 1 and shown i...

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Abstract

The invention relates to an information aggregation framework-based traveling wave fault and interference recording data identification method, and belongs to the technical field of electric power system relay protection. The method comprises the following steps of: firstly, depicting traveling wave recording data obtained by a traveling wave distance measuring device by adopting three measures such as wavelet energy entropy, a mean value and a variance, so as to form a characteristic matrix; secondly, carrying out dimension reduction processing on the characteristic matrix by adopting principal component analysis; and finally constructing a criterion by adopting a mahalanobis distance method, when the distance d<Mq> from the traveling wave recording data to a population distribution center is greater than or equal to d<M,set>, judging the data as traveling wave fault recording data, and otherwise, when the distance d<Mq> from the traveling wave recording data to a population distribution center is smaller than d<M,set>, judging the data as traveling wave interference recording data. A large amount of measured data analysis shows that the method is reliable and effective.

Description

technical field [0001] The invention relates to a method for identifying traveling wave faults and interference recorded wave data based on an information aggregation framework, and belongs to the technical field of electric power system relay protection. Background technique [0002] With the gradual advancement of informatization in transmission lines, a large number of measuring devices are installed in transmission lines to record events in the power grid in real time. The records generated by these measuring devices contain rich information. If they can be fully utilized, they will definitely improve Operators' ability to understand grid behavior. At present, the purpose of most wave recording devices is to analyze the cause of the failure afterwards, and the analysis methods are generally manual, lacking online, large-scale, and automatic analysis methods. The condition for most wave recording devices to start wave recording is often the exceeding of a single index, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G05B23/02
CPCG05B23/024G06F2218/06G06F2218/12
Inventor 束洪春田鑫萃吕蕾
Owner KUNMING UNIV OF SCI & TECH
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