Power Quality disturbance detection using Wavelet based signal processing

Author

Upadhyaya, S. ; Mohanty, S.

Author_Institution

Dept. of Electr. Eng., Nat. Inst. of Technol. Rourkela, Rourkela, India

fYear

2013

fDate

13-15 Dec. 2013

Firstpage

1

Lastpage

6

Abstract

In this paper, the multiresolution analysis technique is applied to detect and localize different Power Quality (PQ) disturbances. Ten types of PQ events such as voltage sag, swell, interruption, harmonic, sag with harmonics and swell with harmonics, notch etc are analyzed using both Discrete Wavelet Transform (DWT) and Second Generation Wavelet Transform (SGWT). Each signal is decomposed upto four finer levels in both DWT and SGWT and also running time for decomposition is measured at four different instants in both the cases. It is shown that SGWT is more efficient and also faster as compared to the traditional Wavelet Transform (WT).

Keywords

discrete wavelet transforms; power supply quality; power system harmonics; signal processing; DWT; PQ events; SGWT; discrete wavelet transform; multiresolution analysis technique; power quality disturbance detection; second generation wavelet transform; voltage sag; voltage swell; wavelet based signal processing; Discrete wavelet transforms; Harmonic analysis; Multiresolution analysis; Power quality; Transient analysis; Lifting Scheme(LS); Power Quality (PQ); Second Generation Wavelet Transform (SGWT); Wavelet Transform (WT);

fLanguage

English

Publisher

ieee

Conference_Titel

India Conference (INDICON), 2013 Annual IEEE

Conference_Location

Mumbai

Print_ISBN

978-1-4799-2274-1

Type

conf

DOI

10.1109/INDCON.2013.6725992

Filename

6725992