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Application of Hilbert Vibration Decomposition in Analysis of non-stationary Oscillation Events in CSG

机译:希尔伯特振动分解在南玻非平稳振荡事件分析中的应用

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This paper focuses on study of time evolving dynamic of interarea oscillation modes in a realistic bulk power system – China Southern Grid (CSG). Three time-frequency methods, Ensemble Empirical Mode Decomposition (EEMD), Hilbert Vibration Decomposition (HVD) and Wavelet Transform (WT), are applied and compared in oscillation events of CSG in recent years. It is found that time varying features do exist in some oscillation events of CSG, which can be captured by HVD and WT exactly. EEMD is limited in the scenario due to mode mixing, and traditional Prony method can’t give meaningful results at all. It is proposed that HVD, WT and Prony should be complementary to each other during analyzing oscillation events in CSG.
机译:本文重点研究在现实的大电网–中国南方电网(CSG)中区域间振荡模式的时间演化动态。近年来,在CSG的振荡事件中应用了三种时频方法:集合经验模式分解(EEMD),希尔伯特振动分解(HVD)和小波变换(WT)。发现在CSG的某些振荡事件中确实存在时变特征,HVD和WT可以准确地捕获这些时变特征。由于模式混合,EEMD在这种情况下受到限制,传统的Prony方法根本无法给出有意义的结果。建议在分析CSG的振荡事件时,HVD,WT和Prony应该相互补充。

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