Title :
Detection of arc in the transmission power lines
Author_Institution :
Department of Electrical Engineering, Wroclaw University of Technology, Wroclaw, Poland
fDate :
5/1/2011 12:00:00 AM
Abstract :
Automatic one-and three-phase re-closing power lines, after short circuit shutdown, is a very effective way to improve the reliability of power delivery. Re-closing while the fault is not cleared can be dangerous for some electrical appliances. To prevent re-closing of a short circuit a method allowing stable arc detection has developed. The method is based on the estimation of real-time parameters in voltage signals and an analysis of error estimation. A neural network has been proposed to solve the problem in real time.
Keywords :
"Artificial neural networks","Voltage measurement","Distortion measurement","Estimation","Power systems","Nonlinear distortion","Optimization"
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
Print_ISBN :
978-1-4244-8779-0
DOI :
10.1109/EEEIC.2011.5874689
