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

fYear

2012

fDate

18-25 May 2012

Firstpage

108

Lastpage

111

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;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Venice

Print_ISBN

978-1-4577-1830-4

Type

conf

DOI

10.1109/EEEIC.2012.6221554

Filename

6221554