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

Volume

1

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

179

Lastpage

184

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-4544-8

Type

conf

DOI

10.1109/PEITS.2009.5407040

Filename

5407040