Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/14996
Title: Performance Improvement of M-Class Phasor Measurement Unit (PMU) using Hamming and Blackman Windows
Authors: Hampannavar S.
Teja C.B.
Swapna M.
Kumar U.R.Y.
Issue Date: 2020
Citation: 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020 , Vol. , , p. -
Abstract: According to the standard C37.118.1, Phasor Measurement Units (PMU) can be broadly classified into two classes: Measurement (M) and Performance (P), where P-Class is used when faster output latency is required and M-Class is used for measurement applications which requires high precision. The standard presents Hamming window as a reference algorithm for M-Class PMU whereas, in this paper we use Blackman window algorithm. The performance of M-Class PMU is analyzed with both the algorithms by taking two case studies in which input given to the PMU is contaminated with different levels of harmonics, inter-harmonics and frequency ramps in each case and it is found that, the errors in frequency and rate of change of frequency (ROCOF) measured by PMU are reduced by a factor of >100 with the Blackman window algorithm when compared to a Hamming window algorithm (which is specified in the standard). © 2020 IEEE.
URI: https://doi.org/10.1109/PESGRE45664.2020.9070382
http://idr.nitk.ac.in/jspui/handle/123456789/14996
Appears in Collections:2. Conference Papers

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