eprintid: 5511
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/55/11
datestamp: 2023-11-09 16:17:15
lastmod: 2023-11-09 16:17:15
status_changed: 2023-11-09 16:01:55
type: article
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: Fundamental frequency estimation in power system through the utilization of sliding window-LMS method
ispublished: pub
keywords: Fundamental frequency estimation; Least mean square algorithms; LMS; Power quality monitoring; Power system; Power system applications; Power system security assessment; Sliding Window, Complex networks; Frequency estimation; Signal to noise ratio, Electric load shedding
note: cited By 0; Conference of 2013 2nd International Conference on Mechanics and Control Engineering, ICMCE 2013 ; Conference Date: 1 September 2013 Through 2 September 2013; Conference Code:101725
abstract: Frequency estimation is a vital tool for many power system applications such as load shedding, power system security assessment and power quality monitoring. Moreover, the complexity and noisiness of modern power system networks have created challenges for many power system applications. Fast and accurate frequency estimation in the presence of noise is a challenging task. Sliding window with the complex form of least mean square (LMS) algorithm has been utilized in this study in order to improve the frequency estimation in noisy power system. Different simulation cases have been examined for signal with different signal to noise ratio (SNR) and to evaluate the performance of sliding window method for better frequency estimation. The results obtained show that the sliding window method with LMS is able to improve and enhance the frequency estimation even when the (SNR) is small compared to the existing LMS method. © (2014) Trans Tech Publications, Switzerland.
date: 2014
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891046575&doi=10.4028%2fwww.scientific.net%2fAMM.446-447.764&partnerID=40&md5=499d6ec235e88a64ac87cc79c4e69336
id_number: 10.4028/www.scientific.net/AMM.446-447.764
full_text_status: none
publication: Applied Mechanics and Materials
volume: 446-44
place_of_pub: Beijing
pagerange: 764-771
refereed: TRUE
isbn: 9783037859087
issn: 16609336
citation:   Alhaj, H.M.M. and Nor, N.M. and Asirvadam, V.S. and Abdullah, M.F.  (2014) Fundamental frequency estimation in power system through the utilization of sliding window-LMS method.  Applied Mechanics and Materials, 446-44.  pp. 764-771.  ISSN 16609336