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Fundamental frequency estimation in power system through the utilization of sliding window-LMS method

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.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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.

Item Type:Article
Impact Factor:cited By 0
Uncontrolled 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
ID Code:28552
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:30 Aug 2021 09:32
Last Modified:30 Aug 2021 09:32

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