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Harmonic wave main characteristic group screening method based on similar characteristic fusion

A technology of similar characteristics and screening methods, applied in the field of harmonic pollution in power systems, can solve problems such as large influence of calculation errors and large errors, and achieve comprehensive and more reasonable conclusions

Active Publication Date: 2016-08-10
STATE GRID FUJIAN ELECTRIC POWER CO LTD +3
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Problems solved by technology

When the working condition to be analyzed is quite different from the sample working condition, different harmonic source models have a great influence on the calculation error
[0006] At present, the idea of ​​harmonic source modeling is to simplify the model structure, so the error is large

Method used

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  • Harmonic wave main characteristic group screening method based on similar characteristic fusion
  • Harmonic wave main characteristic group screening method based on similar characteristic fusion
  • Harmonic wave main characteristic group screening method based on similar characteristic fusion

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with the drawings and embodiments.

[0032] Such as figure 1 As shown, this embodiment provides a method for screening harmonic main feature groups based on similar feature fusion, which specifically includes the following steps:

[0033] Step S1: Subtract the reference limit C of each harmonic current from the harmonic current monitoring sample 0 , Decentralize the harmonic current monitoring samples, and get the decentralized value C * ;

[0034] Step S2: Calculate the similarity index of the harmonic current monitoring samples: mark S 24*24 Is C * The similarity index matrix between the harmonics in the, S(i,j) represents the similarity between the i-th harmonic current and the j-th harmonic current monitoring sample, where 1≤i,j≤25 , Calculate S(i,j) as follows, and the result is between 1 and -1:

[0035] S ( i , j ) = X k = 1 , m C * ( k , i ) · ...

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Abstract

The invention relates to a harmonic wave main characteristic group screening method based on similar characteristic fusion, comprising steps of performing decentralization on a monitoring sample of harmonic wave current, obtaining a decentralized numerical value, calculating a similarity index of the monitoring sample of the harmonic wave current, and screening out a main characteristic group on the basis of the similarity index distribution characteristics. The harmonic wave main characteristic group screening method can fast determine the main harmonic wave pollution times of a monitoring point.

Description

Technical field [0001] The invention relates to the field of power system harmonic pollution, in particular to a method for screening harmonic main feature groups based on similar feature fusion. Background technique [0002] As a large number of power electronic devices are connected to the grid and the number of other non-linear loads increases, the harmonic pollution in the power system is becoming more and more serious. At present, a relatively complete power quality online monitoring network has been built, which can monitor the total harmonic distortion rate of the grid voltage, the voltage content rate and phase angle of each harmonic, the current total harmonic distortion rate, and the current content rate of each harmonic. Harmonic information such as effective value and phase angle. A large amount of online monitoring information helps users to model harmonic pollution and obtain basic data of user operations. However, a complete harmonic model includes all the harmon...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/16
CPCG01R23/16
Inventor 邵振国陈锦植吴敏辉潘夏余桂钰陈烨霆林炜傅志成张婷婷涂承谦林坤杰张嫣
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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