Title :
Fuzzy-logic-based high accurate fault classification of single and double-circuit power transmission lines
Author :
Cecati, Carlo ; Razi, Kaveh
Author_Institution :
Dept. of Electr. & Inf. Eng., Univ. of L´´Aquila, L´´Aquila, Italy
Abstract :
In this paper, a fuzzy logic-based fault classification of transmission lines is proposed. The classification procedure is carried out by only current phasors of three phases. The proposed technique is able to classify all the possible faults including single-phase to ground, two-phases, two-phases to ground and three-phases faults with high accuracy in a wide variety of system pre-fault loading conditions. In addition, this method can identify the faulted phase(s) from non-faulted phase(s). The mutual effect of parallel transmission lines has been investigated in this study, too. The proposed method has a good performance in high fault resistances, high system loading level and high fault distances from relaying point. Large numbers of test cases are generated to verify the performance of proposed technique. The simulation studies have been carried out by using PSCAD/EMTDC and MATLAB fuzzy-logic toolbox.
Keywords :
earthing; fuzzy reasoning; power engineering computing; power transmission faults; power transmission lines; power transmission protection; Matlab fuzzy-logic toolbox; PSCAD-EMTDC; double-circuit power transmission lines; fault distances; fault resistances; faulted phase identification; fuzzy logic-based fault classification; high-system loading level; parallel transmission line mutual effect; relaying point; single-circuit power transmission lines; single-phase-to-ground faults; three-phase current phasors; three-phases faults; two-phase-to-ground faults; Circuit faults; Fault location; Loading; Power transmission lines; Radio frequency; Resistance;
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2012 International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
978-1-4673-1299-8
DOI :
10.1109/SPEEDAM.2012.6264636