A Harmonic Source Identification Method Based on Data Association Analysis

Abstract

The invention relates to a method for identifying a harmonic source based on data correlation analysis, which comprises the steps of: acquiring the harmonic voltage of a common connection point PCC and the harmonic current data of each feeder within a period of time, generating waveforms, and performing harmonic source identification. Preliminary positioning; perform segmental clustering analysis on harmonic voltage and harmonic current respectively, and output the clustering analysis results; compare the harmonic voltage with the clustering results of each segment of each group of harmonic currents, and determine each feeder as a whole The degree of similarity between the harmonic current and the harmonic voltage, select the harmonic source with the highest degree of similarity as the determined harmonic source; compare whether the determined harmonic source is consistent with the initially located harmonic source. If they are consistent, the harmonic source is successfully located. The present invention does not depend on power grid parameters and models, and is not affected by other conditions, the calculation process is simpler, the calculation amount is less, the speed is faster, and the harmonic source can be quickly identified.

Description

technical field [0001] The invention relates to the technical field of harmonic source positioning, in particular to a harmonic source identification method based on data correlation 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 getting bigger and bigger. If the location of each harmonic source cannot be correctly determined and the responsibility of harmonics cannot be specifically divided, it is impossible to distinguish who is the pollution source of harmonics 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 the harmonic sources in complex power grids. Therefore, it is of great theoretic...

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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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