Multi-innovation stochastic gradient method for harmonic modelling of power signals

The harmonic parameter identification and modelling problem for power signals are studied. In order to model power signals, the multi-innovation stochastic gradient (MI-SG) is derived based on the multi-innovation identification theory. The proposed MI-SG algorithm repeatedly uses past innovations b...

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Bibliographic Details
Published in:	IET signal processing Vol. 10; no. 7; pp. 737 - 742
Main Authors:	Zhou, Lincheng, Li, Xiangli, Xu, Huigang, Zhu, Peiyi
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 01.09.2016
Subjects:	Algorithms fast Fourier transform analysis fast Fourier transforms Fourier transforms gradient methods harmonic parameter identification Harmonics Mathematical models MI‐SG algorithm Modelling multiinnovation identification theory multiinnovation stochastic gradient multiinnovation stochastic gradient method parameter estimation Parameter identification power signal power system harmonics power system parameter estimation Scalars stochastic processes Stochasticity vectors power system harmonics fast Fourier transforms power system parameter estimation harmonic parameter identification power signal fast Fourier transform analysis multiinnovation identification theory vectors multiinnovation stochastic gradient method multiinnovation stochastic gradient parameter estimation stochastic processes gradient methods MI-SG algorithm
ISSN:	1751-9675, 1751-9683, 1751-9683
Online Access:	Get full text
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