Fault classification and location identification in a smart DN using ANN and AMI with real-time data

Fault classification and location identification in a smart DN using ANN and AMI with real-time data

This paper presents a real-time fault classification and location identification method for a smart distribution network (DN) using artificial neural networks (ANNs) and advanced metering infrastructure (AMI). It also describes the development of a testbed for real-time testing of the proposed appro...

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Bibliographic Details
Main Authors: Muhammad Usama Usman, Juan Ospina, Md. Omar Faruque
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
neural nets
fault diagnosis
smart meters
sensitivity analysis
fault location
smart power grids
distribution networks
power system simulation
power distribution faults
uoc
event-driven data
sms
novel ann-based fault classification
balanced fault types
unbalanced fault types
drts
fault resistance
classification accuracy
smart dn
ami
real-time data
real-time fault classification
smart distribution network
advanced metering infrastructure
real-time testing
simulated power system model
real-time simulator
communication network
dnp3 protocol
data concentrator
utility operations centre
location identification method
digital real-time simulator
transfer control protocol
internet protocol
comprehensive sensitivity analysis
noise level
loading conditions
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0896

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0896

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