基于希尔伯特–黄变换的电力系统低频振荡的非线性非平稳分析及其应用

作者:
韩松何利铨孙斌姜浩彭小俊

关键词:
希尔伯特-黄变换(HHT) 非线性系统 广域测量系统(WAMS) 在线辨识 低频振荡

摘要:
Based on Hilbert-Huang transform (HHT), the authors propose a practical method to extract time-varying oscillation characteristic of power system from the data measured by wide area measurement system (WAMS). The proposed method can analyze local dynamic behavior and characteristics of nonlinear and non-stationary signals, better reflect the time-varying law of multi modes involved in oscillation process as well as the mutual influences among these modes, and improve the identification ability and processing effect. Preliminary experimental results of Guizhou Power Grid validate the effectiveness of the proposed method.

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