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

Jong-Il Park and Chang-Hyun Park ()
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Jong-Il Park: School of Electrical Engineering, College of Engineering, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan 48513, Korea
Chang-Hyun Park: School of Electrical Engineering, College of Engineering, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan 48513, Korea

Energies, 2022, vol. 15, issue 17, 1-18

Abstract: 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.

Keywords: harmonic contribution diagram; harmonic distortion; outlier; RANSAC algorithm; recursive least square method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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