Harmonic source identification method based on data association analysis

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...

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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 achieve its effect well under complex networks. In the case of multiple harmonic sources, it cannot solve the problem of responsibility division, cannot determine the specific location of the harmonic source, and cannot eliminate the impact of random disturbances.

[0012] 4. The calculation of the existing technology is complex, the calculation process is complicated, the amount of calculation is large, the matrix is ​​difficult to solve, and the measurement investment cost is high; there are many intermediate parameters, the demand for storage space is large, and the calculation time is increased, the calculation speed is reduced, and it cannot be fast. Realize the identification and location of harmonic sources

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