Harmonic Contribution Assessment Based on the Random Sample Consensus and Recursive Least Square Methods

This paper deals with a method of quantifying the harmonic contribution of each harmonic source to system voltage distortion. Assessing the harmonic contribution of individual harmonic sources is essential for mitigating and managing system harmonic levels. Harmonic contributions can be evaluated us...

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Bibliographic Details
Published in:Energies (Basel) 2022-09, Vol.15 (17), p.6448
Main Authors: Park, Jong-Il, Park, Chang-Hyun
Format: Article
Language:English
Subjects:
Algorithms
Data smoothing
Datasets
harmonic contribution diagram
Harmonic distortion
Methods
Normal distribution
outlier
Parameter estimation
RANSAC algorithm
recursive least square method
Voltage
Voltage distortion
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Summary:This paper deals with a method of quantifying the harmonic contribution of each harmonic source to system voltage distortion. Assessing the harmonic contribution of individual harmonic sources is essential for mitigating and managing system harmonic levels. Harmonic contributions can be evaluated using the principle of voltage superposition with equivalent voltage models for harmonic sources. In general, the parameters of equivalent voltage models are estimated numerically because it is difficult to measure them directly. In this paper, we present an effective method for estimating equivalent model parameters based on the random sample consensus (RANSAC) and recursive least square (RLS) with a variable forgetting factor. The procedure for quantifying harmonic contributions using equivalent models is also introduced. Additionally, we propose a network diagram of harmonic contributions that makes it easy to understand the harmonic distortion contributions of all harmonic sources.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15176448