Title :
A new approach to fast fault detection in power systems
Author :
Aravena, Jorge L. ; Chowdhury, Fahmida N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
This paper presents an integrated approach to the problem of power system fast fault detection and isolation. The idea is to use concepts from signal processing and wavelet theory to create fast and sensitive fault indicators. The indicators can then be analyzed by standard statistical hypothesis testing or by artificial neural nets to create intelligent decision rules. The approach described in this paper does not depend on the availability of an accurate mathematical model. Hence it is expected to be robust and of wide applicability. Results of the analysis of computer simulated faulty transmission lines using filter banks is included
Keywords :
fault location; neural nets; power system analysis computing; power transmission lines; transmission line theory; applicability; artificial neural nets; computer simulation; fast fault detection; fault indicators; fault isolation; intelligent decision rules; power systems; robust; signal processing; statistical hypothesis testing; transmission line faults; wavelet theory; Artificial intelligence; Artificial neural networks; Availability; Electrical fault detection; Mathematical model; Power system analysis computing; Power system faults; Robustness; Signal processing; Testing;
Conference_Titel :
Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3115-X
DOI :
10.1109/ISAP.1996.501093
