Current Signature Analysis of Power System Using Wavelet Transform

V. K. Pandey; Dr. S. K. Shrivastava

Events in power system have peculiar signature in terms of transforms or features. Regular monitoring of current, voltage and power signatures reveal health of interconnected power system. This paper proposes Signature analysis of current for determination of health of power system. This method is popular for motors but rarely cited for power system due to variability of connection and no unified approach. In this research work classification of sample power system using various signatures is investigated which will help us to know events of power system in a better way. Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. The work presented in this paper is focused on identification of simple power system faults. Aim of this proposed work is to exhaustively collect the signatures of power system events, which will help in analyzing the causes of unknown erratic performance or deviation of power system behavior. Results obtained are good estimate for selective discrimination between power system events due to wavelet features.

Select Volume / Issues:

• Volume 3 Issue 6, Nov. 2012

Year:

2012

Type of Publication:

Article

Keywords:

CSA current Signature Analysis; DWT Discrete Wavelet Transform; CWT Continuous Wavelet Transform

Journal:

IJECCE

Volume:

3

Number:

6

Pages:

1422-1427

Month:

November