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Performance enhancement of band-pass FIR filter-based M-class phasor estimation Cover

Performance enhancement of band-pass FIR filter-based M-class phasor estimation

Open Access
|Apr 2024

Abstract

The paper presents the performance enhancement of band-pass filter-based M-class phasor estimation. The performance of the M-class phasor estimation using a band-pass FIR filter is enhanced with a magnitude correction factor for the off-nominal frequency range. The band-pass filter is implemented for the phasor estimation with various window functions Tukey, Rife Vincent class-I order-2 (RV2), Hamming, Hanning, Blackman, and Flat-top (FT) and its performance are evaluated under the steady and dynamic state tests prescribed by the standard. A rigorous performance analysis of enhanced phasor estimation using band-pass FIR filter with various window functions is presented with the accuracy indices of total vector error (TVE), frequency error (FE), and rate of change of frequency error (RFE). The result analysis reveals that the performance enhanced phasor estimation using band-pass FIR filter offers significantly less error than reported work at the low sampling rate. The design and performance analysis of the phasor estimation using the band-pass FIR filter is performed in the MATLAB platform.

DOI: https://doi.org/10.2478/jee-2024-0016 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 124 - 136
Submitted on: Jan 1, 2024
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Published on: Apr 4, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2024 Mukesh Kumar, M. Senthil Kumar, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.