JOURNAL ARTICLE

An accurate digital distance protection scheme using neural network in UHV transmission line

Abstract

This paper describes an accurate digital distance relaying scheme integrated with artificial neural network block is developed using zero sequence component of a fault current and conventional ground impedance values, assuming that the conventional ground impedance always have some error impedance associated in it. The modified scheme is immune to the variation in fault location for under reach and overreach problem caused by sequence current components. Several types of test conducted on a 800kV, 400km transmission line for single phase to ground faults as well as simultaneous open conductor fault in PSCAD/EMTP and Matlab. In the end a comparison has been done with the conventional methods in order to check the accuracy and performance of the proposed scheme which is found to be 97%.

Keywords:
Emtp Transmission line Fault (geology) Electrical impedance Electronic engineering MATLAB Electric power transmission Conductor Artificial neural network Transmission (telecommunications) Computer science Line (geometry) Engineering Electrical engineering Electric power system Artificial intelligence Physics Mathematics

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
8
Refs
0.44
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
HVDC Systems and Fault Protection
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
High-Voltage Power Transmission Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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