Discrimination between transient voltage stability and voltage sag

Author

Jurado, F. ; Cano, A.

Author_Institution

Dept. of Electr. Eng., Univ. of Jaen, Spain

Volume

2

fYear

2002

fDate

6-9 Oct. 2002

Firstpage

670

Abstract

The discrete wavelet transform is a powerful tool in the analysis of the transient phenomena in power systems because of its ability to extract information in both the time and frequency domain. This paper presents a technique for accurate discrimination between transient voltage stability and voltage sag by combining wavelet transforms with neural networks. The wavelet transform is firstly applied to decompose the signals into a series of detailed wavelet components. The wavelet components are calculated and then employed to train a neural network. The simulated results presented clearly show that the proposed technique can accurately discriminate between transient voltage stability and voltage sag in power system protection.

Keywords

discrete wavelet transforms; induction motor drives; neural nets; power supply quality; power system analysis computing; power system protection; power system transient stability; stability; time-frequency analysis; discrete wavelet transform; frequency domain; induction motor drives; load modeling; neural networks; power system protection; time domain; transient voltage stability; voltage sag; wavelet components; Discrete wavelet transforms; Information analysis; Neural networks; Power system analysis computing; Power system stability; Power system transients; Transient analysis; Voltage fluctuations; Wavelet analysis; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Harmonics and Quality of Power, 2002. 10th International Conference on

Print_ISBN

0-7803-7671-4

Type

conf

DOI

10.1109/ICHQP.2002.1221515

Filename

1221515