Title :
Novel method for fault section identification
Author :
Siavashi, E.M. ; Baradar, M.R. ; Afsharnia, S. ; Bina, M. Tavakoli
Author_Institution :
Fac. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
Abstract :
From stability point of view fault section identification is an important task for a transmission systems. In this paper, a novel method for section identification using extended Kalman filter (EKF) has been proposed. Subsynchronous frequency as indicator of fault section identification is estimated by EKF algorithm. Several tests as different fault locations have been performed to show performance of the method. Simulation results reveal high performance of the method. In all tests, the proposed algorithm detects accurately presence of subsynchronous frequency.
Keywords :
Kalman filters; fault location; power transmission faults; extended Kalman filter; fault location; fault section identification; power transmission systems; subsynchronous frequency; Capacitors; Fault diagnosis; Frequency; Impedance; Intelligent transportation systems; Power system transients; Power transmission lines; Protection; Transmission lines; Voltage; extended Kalman filter (EKF); fault section identification; series capacitor; subsynchronous frequency;
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
DOI :
10.1109/PEITS.2009.5407040
