Apply ICA analysis to the power quality monitoring and analyzing system
Weihua Luo, Yunlian Sun · 2006
Because the problem of power quality is increasing complex, the research is very important. In the text, it introduces firstly the Power Quality disturbance and the ways of Power Quality Monitoring. There are FFT (Fast Fourier Transform), STFT (short time discrete Fourier transform), Wigner and wavelet. The paper indicates some flaws in those ways. Secondly, it introduces briefly Independent Component Analysis (ICA) and Empirical Mode Decomposition (EMD) arithmetic. With that, the paper put forward a new method that based on the ICA and EMD arithmetic to monitor and analyze power quality disturbance. It makes a simulated experiment. In the part one of the experiment, it simulates voltage sags, voltage swells, transient surges and voltage fluctuations. In the part two of the experiment, it simulates power quality monitoring in the condition of noise and interference. The result of experiment indicates the new way is effective in the Power Quality Monitoring and Analyzing System. (5 pages)