2011Unpublished venueRequires access

New methods exploration for harmonic source identification technologies

Zhiming Yin, Yuanyuan Sun, Tao Yu

Open publisher page 18 citations

Abstract

With the widespread use of the distributed harmonic sources, quantifying the individual harmonic impacts of the multiple harmonic producing loads is becoming increasingly important. In this paper, a thorough review of the harmonic source identification technologies is given out and the potential research direction of this area is analyzed. Based on this, two possible methods, the multiple linear regression method and partial correlation analysis method are researched in order to determine the individual contributions of multiple harmonic loads. The proposed methods transform the problem of harmonic contribution determination to a data correlation analysis. The degree of correlation between harmonic voltage and each harmonic current can be used to estimate the harmonic impact of each load. Finally, the improvements of the proposed methods are discussed.

About this research paper

What this paper is about

With the widespread use of the distributed harmonic sources, quantifying the individual harmonic impacts of the multiple harmonic producing loads is becoming increasingly important. In this paper, a thorough review of the harmonic source identification technologies is given out and the potential research direction of this area is analyzed. Based on this, two possible methods, the multiple linear regression method and partial correlation analysis method are researched in order to determine the individual contributions of multiple harmonic loads. The proposed methods transform the problem of harmonic contribution determination to a data correlation analysis. The degree of correlation between harmonic voltage and each harmonic current can be used to estimate the harmonic impact of each load. Finally, the improvements of the proposed methods are discussed.

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OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

With the widespread use of the distributed harmonic sources, quantifying the individual harmonic impacts of the multiple harmonic producing loads is becoming increasingly important. In this paper, a thorough review of the harmonic source identification technologies is given out and the potential research direction of this area is analyzed. Based on this, two possible methods, the multiple linear regression method and partial correlation analysis method are researched in order to determine the individual contributions of multiple harmonic loads. The proposed methods transform the problem of harmonic contribution determination to a data correlation analysis. The degree of correlation between harmonic voltage and each harmonic current can be used to estimate the harmonic impact of each load. Finally, the improvements of the proposed methods are discussed.

Key concepts: Harmonic, Harmonic analysis, Identification (biology), Computer science, Electronic engineering, Total harmonic distortion, Voltage, Engineering

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