Open AccessTransient Monitoring Function based Fault Classifier for Relaying Applications
Author(s) -
Priyabrata Pattanaik,
Subhendu Pati,
S. K. Sanyal
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i6.pp4089-4095
Subject(s) - classifier (uml) , matlab , computer science , transient (computer programming) , fault (geology) , wavelet , electric power system , wavelet transform , fault detection and isolation , pattern recognition (psychology) , discrete wavelet transform , artificial intelligence , real time computing , power (physics) , physics , quantum mechanics , seismology , actuator , geology , operating system
This paper proposes Transient monitoring function (TMF) based fault classification approach for transmission line protection. The classifier provides accurate results under various system conditions involving fault resistance, inception angle, location and load angle. The transient component during fault is measured by TMF and appropriate logics applied for fault classification. Simulation studies using MATLAB®/SIMULINK™ are carried out for a 400 kV, 50 Hz power system with variable system conditions. Results show that the proposed classifier has high classification accuracy. The method developed has been compared with a fault classification technique based on Discrete Wavelet Transform (DWT). The proposed technique can be implemented for real time protection schemes employing distance relaying.