Aimed to solve the problem-power system low frequency oscillation in area main lines, this paper presents a decomposition of power system low frequency oscillation which can monitor vibration modal parameters quickly and accurately;The core of low frequency oscillation monitor is an improved Hilbert-H uang Transform(HHT) algorithm through the online record data superposition integral cycle cosine both ends of the sig nal, signal preprocessing is the extreme point. The method has solved the EMD decomposition process of "end effect" problem; Through the MATLAB simulation verifies the effectiveness of the proposed me thod.
A new nonlinearity, instability and non-stationary signal processing method named improved Hilbert-Huang transform was proposed to analyze the measured oscillatory signal from wide area measurement system. Based on this method, the mode mixing of the measured signal in decomposition process was removed and the scheme has advantages of good performance of anti-interference. The measured signal was decomposed into a series of models and identified the amplitude, frequency and damping of lowfrequency oscillation signal. The measured signals from simulation model and actual power system indicate the validity and feasibility of the proposed method.KEY WORDS:Hilbert-Huang Transform (HHT); lowfrequency oscillation model; power system; online identification I.
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