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Discrete wavelet transform and support vector machine‐based parallel transmission line faults classification
Author(s) -
Saber Ahmed,
Emam Ahmed,
Amer Rabah
Publication year - 2016
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22187
Subject(s) - fault (geology) , support vector machine , electric power transmission , randomness , fault indicator , discrete wavelet transform , transmission line , computer science , wavelet , stuck at fault , matlab , pattern recognition (psychology) , engineering , fault detection and isolation , algorithm , wavelet transform , electronic engineering , artificial intelligence , mathematics , electrical engineering , telecommunications , statistics , seismology , actuator , geology , operating system
This paper presents a scheme for classification of faults on double circuit parallel transmission lines using combination of discrete wavelet transform and support vector machine (SVM). Only one cycle post fault of the phase currents was employed to predict the fault type. Two features for each phase current were extracted using discrete wavelet transform. Thus, a total of 12 features were extracted for the six phase currents. The training data were collected, and SVM was employed to establish the fault classification unit. After that, the fault classification unit was tested for different fault states. The power system simulation was conducted using the MATLAB/Simulink program. The proposed technique took into account the mutual coupling between the parallel transmission lines and the randomness of the faults on transmission line considering time of occurrence, fault location, fault type, fault resistance, and loading conditions. The results show that the proposed technique can classify all the faults on the parallel transmission lines correctly. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.