Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor Measurements

The wide area situational awareness attempts at the expeditious detection of imminent system abnormalities and alerting system operators to take appropriate measures. Because the critical situation may arise in a system due to faults on transmission lines spanning over a long distance, phasor measur...

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Main Authors:	Kunja Bihari Swain, Satya Sopan Mahato, Murthy Cherukuri
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Phasor measurement units power system protection situational awareness phaselet Gaussian Naïve Bayes
Online Access:	https://ieeexplore.ieee.org/document/8905991/

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spelling	doaj-de7ca494a14244b684a5e165f5c1f01b2021-03-30T00:55:43ZengIEEEIEEE Access2169-35362019-01-01716818716820010.1109/ACCESS.2019.29543378905991Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor MeasurementsKunja Bihari Swain0https://orcid.org/0000-0001-5995-953XSatya Sopan Mahato1https://orcid.org/0000-0002-8019-4241Murthy Cherukuri2https://orcid.org/0000-0003-2958-5842Department of Electronics and Communication Engineering, Centurion University of Technology and Management, Paralakhemundi, IndiaDepartment of Electronics and Communication Engineering, National Institute of Science and Technology, Berhampur, IndiaDepartment of Electrical and Electronics Engineering, National Institute of Science and Technology, Berhampur, IndiaThe wide area situational awareness attempts at the expeditious detection of imminent system abnormalities and alerting system operators to take appropriate measures. Because the critical situation may arise in a system due to faults on transmission lines spanning over a long distance, phasor measurement units (PMUs) have become an indispensable measuring device to provide a dynamic view of such a wide area system. In this paper, the perception about a 200 km long transmission line has been achieved with the help of phasor measurements from PMU, which has the capability of reporting 200 phasors per second. The comprehension about the perceived event is accomplished by computing the deviations of current phasor magnitude as well as phase angles derived from synchronized phasor measurements using the phaselet algorithm. Based on the comprehension of the perceived event, a specific type of fault has been predicted using the Gaussian Naïve Bayes approach. In order to validate the proposed methodology, it has been implemented on a laboratory setup.https://ieeexplore.ieee.org/document/8905991/Phasor measurement unitspower system protectionsituational awarenessphaseletGaussian Naïve Bayes
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Kunja Bihari Swain Satya Sopan Mahato Murthy Cherukuri
spellingShingle	Kunja Bihari Swain Satya Sopan Mahato Murthy Cherukuri Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor Measurements IEEE Access Phasor measurement units power system protection situational awareness phaselet Gaussian Naïve Bayes
author_facet	Kunja Bihari Swain Satya Sopan Mahato Murthy Cherukuri
author_sort	Kunja Bihari Swain
title	Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor Measurements
title_short	Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor Measurements
title_full	Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor Measurements
title_fullStr	Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor Measurements
title_full_unstemmed	Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor Measurements
title_sort	expeditious situational awareness-based transmission line fault classification and prediction using synchronized phasor measurements
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2019-01-01
description	The wide area situational awareness attempts at the expeditious detection of imminent system abnormalities and alerting system operators to take appropriate measures. Because the critical situation may arise in a system due to faults on transmission lines spanning over a long distance, phasor measurement units (PMUs) have become an indispensable measuring device to provide a dynamic view of such a wide area system. In this paper, the perception about a 200 km long transmission line has been achieved with the help of phasor measurements from PMU, which has the capability of reporting 200 phasors per second. The comprehension about the perceived event is accomplished by computing the deviations of current phasor magnitude as well as phase angles derived from synchronized phasor measurements using the phaselet algorithm. Based on the comprehension of the perceived event, a specific type of fault has been predicted using the Gaussian Naïve Bayes approach. In order to validate the proposed methodology, it has been implemented on a laboratory setup.
topic	Phasor measurement units power system protection situational awareness phaselet Gaussian Naïve Bayes
url	https://ieeexplore.ieee.org/document/8905991/
work_keys_str_mv	AT kunjabihariswain expeditioussituationalawarenessbasedtransmissionlinefaultclassificationandpredictionusingsynchronizedphasormeasurements AT satyasopanmahato expeditioussituationalawarenessbasedtransmissionlinefaultclassificationandpredictionusingsynchronizedphasormeasurements AT murthycherukuri expeditioussituationalawarenessbasedtransmissionlinefaultclassificationandpredictionusingsynchronizedphasormeasurements
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Expeditious Situational Awareness-Based Transmission Line Fault Classification and Prediction Using Synchronized Phasor Measurements

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