DocumentCode :
2552090
Title :
Application of wavelet transformation for voltage stability in distributed power system network
Author :
Wei, Liao ; Han Put
Author_Institution :
Hebei Univ. of Eng., Handan
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
116
Lastpage :
119
Abstract :
By combining wavelet transform (WT) with fractal theory, a novel approach is put forward to detect early short-circuit fault and analyze voltage stability. The application of signal denoising based on the statistic rule is brought forward to determine the threshold of each order of wavelet space, and an effective method is proposed to determine the decomposition level adaptively, increasing the signal-noise-ratio (SNR). In a view of the inter relationship of wavelet transform and fractal theory, the whole and local fractal exponents obtained from WT coefficients as features are presented for extracting fault signals. The effectiveness of the new algorithm used to extract the characteristic signal is described, which can be realized by the value of the fractal dimensions of those types of short-circuit fault. In accordance with the threshold value of each type of short-circuit fault in each frequency band, the correlation between the type of short-circuit and the fractal dimensions can be figured to perform extraction. This model incorporates the advantages of morphological filter and multi-scale WT to extract the feature of faults meanwhile restraining various noises. Besides, it can be implemented in real time using the available hardware. The effectiveness of this model was verified with the voltage stability analysis of simulation results.
Keywords :
fractals; power engineering computing; power system faults; power system stability; signal denoising; stability; voltage control; wavelet transforms; characteristic signal extraction; distributed power system network; fault signal extraction; fractal dimensions; fractal theory; local fractal exponent; morphological filter; short circuit fault; signal denoising; signal-noise-ratio; statistic rule; voltage stability analysis; wavelet space; wavelet transformation; Electrical fault detection; Fault detection; Fractals; Power system analysis computing; Power system faults; Power system stability; Stability analysis; Voltage; Wavelet analysis; Wavelet transforms; Power system; fractal theory; short-circuit fault; voltage stability; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4597281
Filename :
4597281
Link To Document :
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