Intelligent on-line capturing method for optimal time of automatic reclosing transient fault

Author

Chen, Shaohua ; Liu, Yuxin ; Xu, Zili

Author_Institution

Fac. of Autom., Guangdong Univ. of Technol., China

Volume

6

fYear

2004

Firstpage

5084

Abstract

Different reclosing times of automatic reclosing affect power system´s transient stability; but the problem of online capturing method for optimal time of automatic reclosing has never been solved. A new intelligent on-line method for capturing the optimal time of transient fault is presented in this paper. Based on the transient system fault information, the eigenvalue was extracted by means of wavelet transform. And in virtue of definite time criterion, the optimal reclosing time could be on-line captured by the trained ANN. Detailed simulation methods and relevant schematic figures are provided. A satisfactory performance has been found in the given simulation model.

Keywords

artificial intelligence; eigenvalues and eigenfunctions; neural nets; power engineering computing; power system faults; power system transient stability; wavelet transforms; ANN; automatic reclosing; eigenvalue; intelligent online capturing; power system transient stability; reclosing times; transient system fault information; wavelet transform; Artificial neural networks; Data mining; Eigenvalues and eigenfunctions; Neural networks; Power system faults; Power system modeling; Power system simulation; Power system stability; Power system transients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on

Print_ISBN

0-7803-8273-0

Type

conf

DOI

10.1109/WCICA.2004.1343687

Filename

1343687