eprintid: 3879
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/38/79
datestamp: 2023-11-09 15:52:09
lastmod: 2023-11-09 15:52:09
status_changed: 2023-11-09 15:47:50
type: conference_item
metadata_visibility: show
creators_name: Alhaj, H.M.M.
creators_name: Nor, N.M.
creators_name: Asirvadam, V.S.
creators_name: Abdullah, M.F.
title: Power system harmonics estimation using sliding window based LMS
ispublished: pub
keywords: Algorithms; Complex networks; Fast Fourier transforms; Harmonic analysis; Image processing; Power electronics; Signal to noise ratio, Harmonic components; Harmonics component; Least mean square algorithms; Power system harmonics; Power system networks; Power system signal; Sliding window methods; Sliding window-based, Estimation
note: cited By 10; Conference of 2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013 ; Conference Date: 8 October 2013 Through 10 October 2013; Conference Code:102487
abstract: The widespread use of power electronics devises and nonlinear loads in power system grids is increasing in the last decades leads to rise of harmonic in power system signals. Great damage to power system gird can happen due to harmonics. Thus it is important to precisely estimate the harmonics components that may help to avoid its harmful effect of the electrical grid performance. The more common algorithm that has been used to estimate the harmonic component is the Fast Fourier Transform (FFT), however FFT has few limitations, furthermore, modern power system network getting complex and noisy. Therefore, fast and accurate harmonic estimation in the presence of noise is needed. Sliding window based least mean square (LMS) algorithm is introduced in this paper to estimate the harmonic components in noisy environment. The result shows that the sliding window method able to give a good estimation to the harmonic component even when the signal to noise ratio (SNR) is 0 dB. © 2013 IEEE.
date: 2013
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894202039&doi=10.1109%2fICSIPA.2013.6708027&partnerID=40&md5=e6312f99133f7a4cab9ef482d4fa8373
id_number: 10.1109/ICSIPA.2013.6708027
full_text_status: none
publication: IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications
place_of_pub: Melaka
pagerange: 327-332
refereed: TRUE
isbn: 9781479902675
citation:   Alhaj, H.M.M. and Nor, N.M. and Asirvadam, V.S. and Abdullah, M.F.  (2013) Power system harmonics estimation using sliding window based LMS.  In: UNSPECIFIED.