Power Quality Disturbance Location Method Based on Morphological Undecimated Wavelet

Author

Xiangping Meng ; Yue Jin

Author_Institution

Coll. of Electr. Eng., Changchun Inst. of Technol., Changchun, China

fYear

2013

fDate

21-23 June 2013

Firstpage

1307

Lastpage

1310

Abstract

This paper presents a novel morphological undecimated wavelet (MUDW) decomposition scheme to locate the disturbance signal with randomness, irregularity and variability. The MUDW scheme contains broad open-close or close-open filter and morphological gradient which detect mutations on the top and bottom edges of signal. The scheme meets the signal reconstruction conditions. This scheme used MATLB to detect disturbance signal, and compared with the existing form of sampling wavelet. The result shows that the new MUDW scheme can recognize and detect the signal and has good anti-noise performance.

Keywords

mathematics computing; power engineering computing; power supply quality; signal detection; signal reconstruction; wavelet transforms; MATLB; MUDW decomposition scheme; antinoise performance; close-open filter; disturbance signal detection; morphological gradient; morphological undecimated wavelet decomposition scheme; mutation detection; open-close filter; power quality disturbance location method; sampling wavelet; signal bottom edge; signal reconstruction condition; signal top edge; Filtering theory; Harmonic analysis; Noise; Power quality; Voltage fluctuations; Wavelet transforms; detection; disturbance location; morphological undecimated wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on

Conference_Location

Shiyang

Type

conf

DOI

10.1109/ICCIS.2013.346

Filename

6643264