Title :
A new fault location method based on adaptive neuro fuzzy in presence of SSSC on transmission line
Author :
Mohagheghi, E. ; Bagherian, A. ; Ashiru, W.A. ; Esmaeilian, A.
Author_Institution :
Univ. of Greenwich, London, UK
Abstract :
This paper presences an accurate and robust fault location algorithm for transmission lines utilizing Static Synchronous Series Compensator (SSSC). The presence of SSSC on a transmission line has a great influence on the measured impedance at the relaying point. Firstly a detailed model of the SSSC and its control is proposed and then a precise fault location algorithm employing adaptive neuro fuzzy (ANFIS) is presented. A MATLAB_SIMULINK test system is modeled to investigate the proposed algorithm. The results obtained allow concluding that the fault location algorithm is accurate with respect to SSSC presence.
Keywords :
fault location; fuzzy neural nets; power transmission faults; power transmission lines; static VAr compensators; ANFIS; Matlab-Simulink test system; SSSC; adaptive neuro fuzzy; relaying point; robust fault location algorithm; static synchronous series compensator; transmission line; Fault location; Impedance; Power transmission lines; Resistance; Transmission line measurements; Voltage control; Voltage measurement; Fault location; distance protection; static synchronous series compensator;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4577-1830-4
DOI :
10.1109/EEEIC.2012.6221554
