Improved wavelet based detection of power quality events in the presence of noise

Author

Sathya, S. ; Sundararajan, D.

Author_Institution

Dept. of EEE, Adhiyamaan Coll. of Eng., Hosur, India

fYear

2015

fDate

19-20 March 2015

Firstpage

1

Lastpage

6

Abstract

Due to nonlinear loads and other reasons, the power quality gets deteriorated and is of a major significance in recent times. In order to mitigate the problems due to power quality events such as sag, swell, interrupt, etc., good estimation of the parameters of the power quality events is required. Invariably, the power system waveforms get corrupted due to noise also. The estimation of the parameters and the removal of noise requires a time-frequency analysis. The discrete wavelet transform is highly suitable for time-frequency analysis due to its suitability for the analysis of nonstationary signals. In this paper, a method is proposed for the effective removal of the noise and the estimation of the parameters of the power quality events. Simulation results confirm the effectiveness of the proposed approach.

Keywords

discrete wavelet transforms; power supply quality; power system measurement; power system parameter estimation; signal denoising; time-frequency analysis; discrete wavelet transform; improved wavelet based detection; interrupt; noise presence; noise removal; nonstationary signal analysis; parameter estimation; power quality events; power quality monitoring; sag; swel; time-frequency analysis; Approximation methods; Discrete wavelet transforms; Filter banks; Noise; Noise measurement; Noise reduction; Power quality; denoising; discrete wavelet transform; power quality monitoring; time-frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on

Conference_Location

Nagercoil

Type

conf

DOI

10.1109/ICCPCT.2015.7159283

Filename

7159283