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A new fault location method based on adaptive neuro fuzzy in presence of SSSC on transmission line

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4 Author(s)
E. Mohagheghi ; University of Greenwich, United Kingdom ; A. Bagherian ; W. A. Ashiru ; A. Esmaeilian

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.

Published in:

Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on

Date of Conference:

18-25 May 2012