Harmonic source identification method based on data association analysis

A technology of data association and identification method, which is applied in the recognition of patterns in signals, harmonic reduction devices, character and pattern recognition, etc. Fast and accurate, overcoming large errors, and the effect of fast convergence

Active Publication Date: 2021-03-19
FUZHOU UNIV
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Problems solved by technology

[0009] 1. The existing technology is greatly affected by factors such as the phase difference between harmonic sources, the amplitude of the voltage source, the harmonic impedance, and the accuracy of the power factor angle. Therefore, certain errors will occur in the process of identifying the harmonic source. The accuracy of the results is not high, resulting in its limited application
[0010] 2. The existing technology needs to know the detailed network parameters and accurate topology structure, but in actual engineering, due to the approximation of the system model and the lack of network parameters, large errors will be caused in the estimation results
[0011] 3. The existing technology cannot achi...

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  • Harmonic source identification method based on data association analysis
  • Harmonic source identification method based on data association analysis
  • Harmonic source identification method based on data association analysis

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0046] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0047] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a harmonic source identification method based on data association analysis, which comprises the following steps: acquiring harmonic voltage of a point of common coupling (PCC)and harmonic current data of each feeder within a period of time, generating a waveform, and carrying out preliminary positioning on a harmonic source; carrying out segmented clustering analysis on the harmonic voltage and the harmonic current, and outputting clustering analysis results; comparing the harmonic voltage with the clustering result of each section of each group of harmonic current, judging the similarity degree of each feeder harmonic current and the harmonic voltage on the whole, and selecting the harmonic current with the highest similarity degree as a judged harmonic source; and comparing whether the judged harmonic source is consistent with the preliminarily positioned harmonic source or not, and if so, indicating that the harmonic source is successfully positioned. The method does not depend on power grid parameters and models, is not affected by other conditions, is simpler in calculation process, is less in calculation amount, is higher in speed, and can achieve the quick recognition of the harmonic source.

Description

technical field [0001] The invention relates to the technical field of harmonic source location, in particular to a method for identifying a harmonic source based on data association analysis. Background technique [0002] How to accurately locate and identify harmonic sources is a key issue in the process of studying power quality. The influence of harmonic problems in the power system is increasing. If the location of each harmonic source cannot be correctly determined and the harmonic responsibilities are specifically divided, it will not be possible to distinguish who is the source of harmonic pollution and who is the victim. The reward and punishment mechanism cannot be realized, let alone fair and effective. However, the traditional harmonic source identification methods have certain limitations due to various factors, and cannot quickly and accurately identify and locate harmonic sources in complex power grids. Therefore, it is of great theoretical significance to st...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/16G06F18/23213G06F18/22Y02E40/40
Inventor 宋福根吕学伟
Owner FUZHOU UNIV
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