JOURNAL ARTICLE

Transmission Line Fault Classification Using Superimposed Components

P. R. PattanaikBasanta K. PanigrahiSubhendu PatiS. K. SanyalJeevan J. Mahakud

Year: 2019 Journal:   2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pages: 391-395

Abstract

This paper presents fault classification technique based on superimposed components of current signals. The classifier refers sequence networks of different fault type for developing classification logics. The superimposed sequences of current data are used to determine fault type and faulted phases that are selected through superimposed components of phase currents. This method is tested with different system conditions and effect of fault resistance, fault location, fault inception angle and load angle variation are studied. A two terminal 50 Hz system in Matlab®/Simulink™ environment is considered for simulation. The proposed algorithm is easy to implement in microprocessor based relay.

Keywords:
Computer science Transmission line Fault (geology) Line (geometry) Transmission (telecommunications) Electric power transmission Electrical engineering Geology Telecommunications Engineering Mathematics Seismology

Metrics

2
Cited By
0.68
FWCI (Field Weighted Citation Impact)
16
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Power Systems Fault Detection
Physical Sciences →  Engineering →  Control and Systems Engineering
Islanding Detection in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power Transformer Diagnostics and Insulation
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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