Compressive Sensing Taylor-Fourier Multifrequency Approach for Three-Phase Signals

Phasor Measurement Units represent nowadays a key technology for the development of new monitoring and control applications in transmission and, in a likely future scenario, also distribution systems. For this reason, a lot of effort is ongoing in designing PMU algorithms that are more accurate and responsive. In this regard, addressing the problem of tracking faster dynamics while cancelling the impact of harmonics, interharmonics and wideband disturbances has great relevance. This paper leverages the properties of three-phase signals to unlock the potentiality of recently proposed compressive sensing weighted Taylor-Fourier multifrequency (CS-WTFM) models to design a new algorithm (CS3-WTFM) with higher performance, particularly in the presence of interharmonic interference. Simulations prove CS3-WTFM effectiveness with reductions of total vector, frequency and rate of change of frequency errors of one or even two orders of magnitude under several testing conditions.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/amps62611.2024.10706694
Citations
2
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
Field-Weighted Citation Impact
0.42
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article

Compressive Sensing Taylor-Fourier Multifrequency Approach for Three-Phase Signals

Sergio Toscani, Guglielmo Frigo, Paolo Attilio Pegoraro
2 citations
Electrical and Bioimpedance Tomography
0.42
article

Compressive Sensing Taylor-Fourier Multifrequency Approach for Three-Phase Signals

Sergio Toscani, Guglielmo Frigo, Paolo Attilio Pegoraro
article en
2 citations

Abstract

Phasor Measurement Units represent nowadays a key technology for the development of new monitoring and control applications in transmission and, in a likely future scenario, also distribution systems. For this reason, a lot of effort is ongoing in designing PMU algorithms that are more accurate and responsive. In this regard, addressing the problem of tracking faster dynamics while cancelling the impact of harmonics, interharmonics and wideband disturbances has great relevance. This paper leverages the properties of three-phase signals to unlock the potentiality of recently proposed compressive sensing weighted Taylor-Fourier multifrequency (CS-WTFM) models to design a new algorithm (CS3-WTFM) with higher performance, particularly in the presence of interharmonic interference. Simulations prove CS3-WTFM effectiveness with reductions of total vector, frequency and rate of change of frequency errors of one or even two orders of magnitude under several testing conditions.

University of Cagliari (IT), Swiss Federal Institute of Metrology (CH), Politecnico di Milano (IT)
Openalex Percentile: Top 37%
Electrical and Bioimpedance Tomography
0.42
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Compressive Sensing Taylor-Fourier Multifrequency Approach for Three-Phase Signals — Sergio Toscani, Guglielmo Frigo, et al. · (2024) | TGRS Research Map | TGRS