Identification of ferroresonance based on wavelet transform and artificial neural networks

Author

Mokryani, G. ; Haghifam, M.-R. ; Esmaeilpoor, J.

Author_Institution

Islamic Azad Univ., Ilkhchi

fYear

2007

fDate

9-12 Dec. 2007

Firstpage

1

Lastpage

6

Abstract

A novel method for Ferroresonance detection is presented in this paper. Using this method Ferroresonance can he discriminate from other transients such as capacitor switching, load switching, transformer switching. Wavelet transform is used for decomposition of signals and competitive neural network used for classification. Ferroresonance data and other transients are obtained by simulation using EMTP program. Results show that the proposed procedure is efficient in identifying Ferroresonance from other events.

Keywords

EMTP; distribution networks; neural nets; wavelet transforms; EMTP program; artificial neural network; capacitor switching; electric power distrihution system; ferroresonance Identification; ferroresonance detection; load switching; transformer switching; wavelet transform; Artificial neural networks; Capacitance; Capacitors; Ferroresonance; Frequency; Inductance; Neural networks; Power system transients; Voltage control; Wavelet transforms; Competitive Neural Network; EMTP program; Ferroresonance; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference, 2007. AUPEC 2007. Australasian Universities

Conference_Location

Perth, WA

Print_ISBN

978-0-646-49488-3

Electronic_ISBN

978-0-646-49499-1

Type

conf

DOI

10.1109/AUPEC.2007.4548122

Filename

4548122