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Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression

The wide area monitoring system (WAMS) records and monitors every fault or disturbance that occurs in a power system network using phasor measuring units (PMUs). Extensive monitoring of the condition of the electrical power system can ensure the sustainability of reliable energy. The accuracy of the...

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Main Authors: Awalin, Lilik Jamilatul, Abd Halim, Syahirah, Ramli, Nor Azuana, Jamaludin, Jafferi, Ali, Mohd Syukri
Format: Article
Published: Institute of Advanced Engineering and Science 2022
Subjects:
T Technology (General)
TD Environmental technology. Sanitary engineering
Online Access:http://eprints.um.edu.my/43795/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135091175&doi=10.11591%2fijeecs.v27.i2.pp780-792&partnerID=40&md5=3d2dd5df897573f6552b20e1cc24b733
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spelling my.um.eprints.437952024-11-18T01:14:16Z http://eprints.um.edu.my/43795/ Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression Awalin, Lilik Jamilatul Abd Halim, Syahirah Ramli, Nor Azuana Jamaludin, Jafferi Ali, Mohd Syukri T Technology (General) TD Environmental technology. Sanitary engineering The wide area monitoring system (WAMS) records and monitors every fault or disturbance that occurs in a power system network using phasor measuring units (PMUs). Extensive monitoring of the condition of the electrical power system can ensure the sustainability of reliable energy. The accuracy of the PMUs placement can be determined using the least square support vector regression (LS-SVR) technique. The primary goal of this study is to assess the level of accuracy of the PMUs placement using mean square error (MSE). First, the IEEE-14 bus system equipped with PMUs was built in Matlab software using Simulink. The MSE of the PMUs was then calculated using the LS-SVR. The results revealed that the lower the MSE, the better the PMUs placement. It was also observed that placing the PMUs on bus 2, bus 6, and bus 9 produced the lowest value of MSE. © 2022 Institute of Advanced Engineering and Science. All rights reserved. Institute of Advanced Engineering and Science 2022 Article PeerReviewed Awalin, Lilik Jamilatul and Abd Halim, Syahirah and Ramli, Nor Azuana and Jamaludin, Jafferi and Ali, Mohd Syukri (2022) Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression. Indonesian Journal of Electrical Engineering and Computer Science, 27 (2). 780 – 792. ISSN 2502-4752, DOI https://doi.org/10.11591/ijeecs.v27.i2.pp780-792 <https://doi.org/10.11591/ijeecs.v27.i2.pp780-792>. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135091175&doi=10.11591%2fijeecs.v27.i2.pp780-792&partnerID=40&md5=3d2dd5df897573f6552b20e1cc24b733 10.11591/ijeecs.v27.i2.pp780-792
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic T Technology (General)
TD Environmental technology. Sanitary engineering
spellingShingle T Technology (General)
TD Environmental technology. Sanitary engineering
Awalin, Lilik Jamilatul
Abd Halim, Syahirah
Ramli, Nor Azuana
Jamaludin, Jafferi
Ali, Mohd Syukri
Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression
description The wide area monitoring system (WAMS) records and monitors every fault or disturbance that occurs in a power system network using phasor measuring units (PMUs). Extensive monitoring of the condition of the electrical power system can ensure the sustainability of reliable energy. The accuracy of the PMUs placement can be determined using the least square support vector regression (LS-SVR) technique. The primary goal of this study is to assess the level of accuracy of the PMUs placement using mean square error (MSE). First, the IEEE-14 bus system equipped with PMUs was built in Matlab software using Simulink. The MSE of the PMUs was then calculated using the LS-SVR. The results revealed that the lower the MSE, the better the PMUs placement. It was also observed that placing the PMUs on bus 2, bus 6, and bus 9 produced the lowest value of MSE. © 2022 Institute of Advanced Engineering and Science. All rights reserved.
format Article
author Awalin, Lilik Jamilatul
Abd Halim, Syahirah
Ramli, Nor Azuana
Jamaludin, Jafferi
Ali, Mohd Syukri
author_facet Awalin, Lilik Jamilatul
Abd Halim, Syahirah
Ramli, Nor Azuana
Jamaludin, Jafferi
Ali, Mohd Syukri
author_sort Awalin, Lilik Jamilatul
title Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression
title_short Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression
title_full Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression
title_fullStr Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression
title_full_unstemmed Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression
title_sort wide area monitoring system control management of the ieee-14 bus system using least square support vector regression
publisher Institute of Advanced Engineering and Science
publishDate 2022
url http://eprints.um.edu.my/43795/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135091175&doi=10.11591%2fijeecs.v27.i2.pp780-792&partnerID=40&md5=3d2dd5df897573f6552b20e1cc24b733
_version_ 1817841965375422464
score 13.223943

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