2022
DOI: 10.3390/machines10020095
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An Observer-Based Harmonic Extraction Method with Front SOGI

Abstract: With the further development of harmonic pollution in the power system, scientists have carried out research on harmonics. Among them, harmonic detection is the first step in harmonic research. In this paper, a harmonic detection method based on an observer is proposed. This method first uses the cascaded Second-Order Generalized Integration (SOGI) algorithm, which can filter the Direct Current (DC) component of the input signal to extract the fundamental frequency, and then uses a time-varying observer to ext… Show more

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Cited by 3 publications
(1 citation statement)
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“…The frequency-domain methods usually refer to Fourier transform-based techniques [12][13][14][15], within which the sliding discrete Fourier transform (SDFT) has gained wide applications in recent years for its efficient iteration and easy digital implementation. In [16], the SDFT was used for harmonic detection in the three-phase grid-tie inverter system; besides, SDFT has been often used in cooperation with the phase-locked loop for the stable operation and control of the grid-connected converters [17,18]. Although the SDFT algorithm is computationally efficient, this method still might have drawbacks, e.g., a slow dynamic performance and sensitivity to the frequency, and types of measures have been researched to make improvements [19], and types of improvements have been carried out in [20].…”
Section: Introductionmentioning
confidence: 99%
“…The frequency-domain methods usually refer to Fourier transform-based techniques [12][13][14][15], within which the sliding discrete Fourier transform (SDFT) has gained wide applications in recent years for its efficient iteration and easy digital implementation. In [16], the SDFT was used for harmonic detection in the three-phase grid-tie inverter system; besides, SDFT has been often used in cooperation with the phase-locked loop for the stable operation and control of the grid-connected converters [17,18]. Although the SDFT algorithm is computationally efficient, this method still might have drawbacks, e.g., a slow dynamic performance and sensitivity to the frequency, and types of measures have been researched to make improvements [19], and types of improvements have been carried out in [20].…”
Section: Introductionmentioning
confidence: 99%