DocumentCode :
2604319
Title :
Power quality disturbances denoising using modified S-transform
Author :
Yi, Jiliang ; Peng, Jianchun
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a new approach of power quality disturbances denoising using modified S-transform which mitigates the defect of S-transform that white noise power spectrum lineally increases with frequency. So it´s more suited for analyzing noise signal than S-transform. The energy congregation level (ECL) is defined for determining the parameter g which can adjust the time-frequency resolution. And the ECL is also utilized to determine the order of the specific element that its module use as the threshold to rectify the elements of time-frequency matrix. The quadratic change rate of ECL is defined to find the optimal iterative number used in iterating algorithm to obtain satisfactory denoising results. Inverse transform of modified S-transform is taken to get the disturbance waveform after denoising. In the end of the paper the simulations are made to illustrate the validity of the proposed method and the results comparison with wavelet-based method are given.
Keywords :
matrix algebra; power supply quality; time-frequency analysis; wavelet transforms; white noise; energy congregation level; inverse transform; modified S-transform; power quality disturbances denoising; time-frequency matrix; time-frequency resolution; wavelet-based method; white noise power spectrum; Energy resolution; Filtering; Noise level; Noise reduction; Power quality; Samarium; Signal analysis; Signal resolution; Time frequency analysis; White noise; denoising; energy congregation level; modified S-transform; power quality disturbances;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348266
Filename :
5348266
Link To Document :
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