Amplitude and frequency detection of power system signals with chaotic distortions using independent component analysis
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Date
2014
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
ELSEVIER SCIENCE SA
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
In this paper independent component analysis (ICA) method for amplitude and frequency estimation of highly distorted power system signals is presented. In a power system the accuracy of amplitude and frequency detection is strictly related to distortion strength of the system signal. Distorted system signal may contain chaotic (ferroresonance) and non-chaotic (white, pulse, harmonic etc.) noise. In this study, chaotic distortions are used to contaminate system signal, which is the worst case scenario for a power system. The proposed method is employed to eliminate the noise and hence to improve the efficiency of the estimation. To simulate chaotic distortions Duffing Oscillator solutions are used. Computer simulations have been carried out for the performance analysis of the proposed method and the comparison of the results of the proposed method with the conventional filters are presented. (C) 2013 Elsevier B.V. All rights reserved.
Description
Keywords
Ferroresonance, Independent component analysis, Chaotic distortions
Journal or Series
ELECTRIC POWER SYSTEMS RESEARCH
WoS Q Value
Q2
Scopus Q Value
Q1
Volume
108
