文章基本信息

标题：Online Koopman Mode Decomposition for Power System Synchrophasor Data
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作者：Yoshihiko Susuki ; Takahiro Shimomura ; Yutaka Ota 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：9
页码：54-58
DOI：10.1016/j.ifacol.2022.07.010
语种：English
出版社：Elsevier
摘要：AbstractMeasurement of power system oscillations is the first step for monitoring and control of interconnected power systems. Koopman Mode Decomposition (KMD) is a novel technique of nonlinear time-series analysis guided by the spectral theory of Koopman operators for nonlinear dynamical systems. This paper presents an online algorithm of KMD that is suitable to streaming data derived from synchrophasors. Its effectiveness is established by applying it to extract an inter-area mode of the Japan's western power system directly from synchrophasor data at three locations.
关键词：KeywordsPower system oscillationSynchrophasor dataKoopman modeOnline algorithmInter-area oscillation