Title :
Faulted-phase selection scheme for China 500kV transmission line based on wavelet transforms and artificial intelligence
Author :
Jianyi Chen ; Aggarwal, Raj K. ; Yuping Lu
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath, UK
Abstract :
This paper extends the application of a previously developed faulted-phase selection scheme to China 500kV transmission line. The scheme is based on wavelet transform and artificial intelligence technique and is implemented and examined using MATLAB Simulink. Various types of fault taking place at different inception angles, different phases, and different locations in this specific transmission line system are simulated and used to validate the scheme. The results show that the proposed scheme is robust and accurate. And most importantly, its performance is independent of the power transmission system type.
Keywords :
artificial intelligence; power engineering computing; power transmission faults; power transmission lines; wavelet transforms; China transmission line system; Matlab-Simulink; artificial intelligence technique; faulted-phase selection scheme; inception angles; power transmission system; voltage 500 kV; China transmission line; neural networks; phase selection; wavelet transform;
Conference_Titel :
Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
Conference_Location :
Hangzhou
Electronic_ISBN :
978-1-84919-673-4
DOI :
10.1049/cp.2012.1852