标题:Signal frequency and parameter estimation for power systems using the hierarchical identification principle
作者:Cao, Yinni; Liu, Zhanqiang
作者机构:[Cao, Yinni; Liu, Zhanqiang] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China.
通讯作者:Cao, Y
通讯作者地址:[Cao, YN]Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China.
来源:MATHEMATICAL AND COMPUTER MODELLING
出版年:2010
卷:52
期:5-6
页码:854-861
DOI:10.1016/j.mcm.2010.05.015
关键词:Signal modelling; Parameter estimation; Least squares; Stochastic; gradient; Fundamental frequency estimation
摘要:Estimating the fundamental frequency and harmonic parameters is basic for signal modelling in a power supply system. This paper present a gradient based algorithm and a least squares based algorithm to estimate the fundamental frequency, the amplitudes and the phased of harmonic waves according to the voltage/current samples of a power system. Differing from the existing parameter estimation algorithms either for power quality monitoring or for harmonic compensation, the proposed algorithms are based on the hierarchical identification principle and are able to estimate the fundamental frequency, the amplitudes and phased of harmonic waves simultaneously. In addition, the proposed algorithms are in the recursive form, which is suitable for on-line implementation. The simulation results verify the effectiveness of the proposed algorithms. (C) 2010 Elsevier Ltd. All rights reserved
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:28
Scopus被引频次:34
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954175705&doi=10.1016%2fj.mcm.2010.05.015&partnerID=40&md5=3214deaf59c13e44a96680bdf4582c66
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