<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>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.</p>
</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.

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

Department of Electrical Engineering, National Institute of Technology Patna

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Performance enhancement of band-pass FIR filter-based M-class phasor estimation"}

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...

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

Published Online: Apr 04, 2024

Page range: 124 - 136

Received: Jan 01, 2024

DOI: https://doi.org/10.2478/jee-2024-0016

Keywords
synchrophasor estimation, frequency estimation, M-class phasor measurement, phasor measurement unit, bandpass FIR filter

© 2024 Mukesh Kumar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Published Online: Apr 04, 2024

Page range: 124 - 136

Received: Jan 01, 2024

DOI: https://doi.org/10.2478/jee-2024-0016

Keywordssynchrophasor estimation, frequency estimation, M-class phasor measurement, phasor measurement unit, bandpass FIR filter

© 2024 Mukesh Kumar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
synchrophasor estimation, frequency estimation, M-class phasor measurement, phasor measurement unit, bandpass FIR filter