Melola Discovery

← Melola Discovery

Open access Jurnal

Analisis Penentuan Lokasi Gangguan Hubung Singkat Pada Saluran Transmisi Di Sulawesi Tenggara

Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) · Vol. 7 No. 2 (2022) · pp. 89–96

DOI
10.33772/jfe.v7i2.23386
ISSN
2502-5562
Published
2022-06-23
Publisher
Universitas Halu Oleo
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

The electricity system often experiences disturbances, especially short circuit disturbances on transmission lines. This short circuit disturbance is caused by various things such as lightning surges, fallen trees, animals, and other conditions. The interconnected Southeast Sulawesi power system cannot be separated from this short circuit problem. Therefore, determining the location of this short-circuit fault must be done quickly so that the cause of the disturbance can be immediately identified. This study aims to analyze the determination of the location of short circuit faults using the Takagi Method. Simulations were carried out using ETAP 16.0.0 software to see the condition of the Southeast Sulawesi system power flow. This Takagi method analyzes the location of the disturbance using the conditions before and after the disturbance occurs based on the recorded data at the substation. The results of the analysis carried out on the Southeast Sulawesi transmission line show that the percentage of accuracy in determining the location of a single-phase short-circuit fault to ground using the Takagi method is better, with a distance difference of 0.368-0.581 km (1.49%) when compared to the reading results on recordings of 10,173-9,960 km (31.58%) from the fault location occurred after inspection of the Lasusua-Kolaka transmission line. Disturbances on lines 1 and 2 Kolaka-Lasusua produce an error value of 1.533 km (9.24%) and 1.547 km (9.32%) when compared to fault locator readings of 3.212 km (19.36%) and 1.812 km ( 10.92%). Meanwhile, the Unaaha-Kolaka transmission line produces a distance difference of 0.709 km (3.29%) when compared to the fault locator reading of 4.323 km (20.12%). The results of the power flow simulation produce an installed generating capacity of 188 MW, a total active power of 116.780 MW and a reactive power of 29,944 Mvar. Thus, it can be concluded that the Takagi Method has a better accuracy value in reading fault locators.

Keywords

Collaboration network of the authors

31 authors · 66 co-authorship links · 9 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Universitas Sulawesi Tenggara
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Minson SimatupangUniversitas Halu Oleo2
Holis HermansyahUniversitas Halu Oleo2
Muh. Nadzirin Anshari NurUniversitas Halu Oleo2
Abdul KadirUniversitas Halu Oleo2
Cindy PuspitafuriAffiliation unknown2
danu salamAffiliation unknown2
Bambang PramonoUniversitas Halu Oleo1
Muhammad Ihsan SaritaUniversitas Halu Oleo1
Isnawaty IsnawatyUniversitas Halu Oleo1
Muhammad Ishak JaelaniUniversitas Halu Oleo1
Anrias AnriasUniversitas Halu Oleo1
Febriansyah ArsyadUniversitas Sulawesi Tenggara1
Hasir HasirUniversitas Halu Oleo1
Muh Wonua Bhakti AlsonUniversitas Sulawesi Tenggara1
Nanda Ayu PratiwiUniversitas Sulawesi Tenggara1
La Ode KasadAffiliation unknown1
Abdul KadirAffiliation unknown1
Sukardi SukardiAffiliation unknown1
Eng. Lukas Kano ManggallaAffiliation unknown1
Tommy Rekza LabiranAffiliation unknown1
Tachrir TachrirAffiliation unknown1
Abdul DjoharAffiliation unknown1
Fiani KansilAffiliation unknown1
Rosliana EsoAffiliation unknown1
La Ode SaidmanAffiliation unknown1
Kasman KasmanAffiliation unknown1
La Ode Santiaji BandeUniversitas Halu Oleo1
Saefuddin SaefuddinUniversitas Halu Oleo1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs.uho.ac.id/index.php/JFE/oai, first harvested 31 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Analisis Penentuan Lokasi Gangguan Hubung Singkat Pada Saluran Transmisi Di Sulawesi Tenggara</dc:title>
	<dc:creator>Wahyudin, Pebi</dc:creator>
	<dc:creator>Musaruddin, Mustarum</dc:creator>
	<dc:creator>Mokui, Hasmina Tari</dc:creator>
	<dc:subject xml:lang="en-US">Fault Location; Transmission; Short Circuit Fault; Takagi Method; Load Flow</dc:subject>
	<dc:description xml:lang="en-US">The electricity system often experiences disturbances, especially short circuit disturbances on transmission lines. This short circuit disturbance is caused by various things such as lightning surges, fallen trees, animals, and other conditions. The interconnected Southeast Sulawesi power system cannot be separated from this short circuit problem. Therefore, determining the location of this short-circuit fault must be done quickly so that the cause of the disturbance can be immediately identified. This study aims to analyze the determination of the location of short circuit faults using the Takagi Method. Simulations were carried out using ETAP 16.0.0 software to see the condition of the Southeast Sulawesi system power flow. This Takagi method analyzes the location of the disturbance using the conditions before and after the disturbance occurs based on the recorded data at the substation. The results of the analysis carried out on the Southeast Sulawesi transmission line show that the percentage of accuracy in determining the location of a single-phase short-circuit fault to ground using the Takagi method is better, with a distance difference of 0.368-0.581 km (1.49%) when compared to the reading results on recordings of 10,173-9,960 km (31.58%) from the fault location occurred after inspection of the Lasusua-Kolaka transmission line. Disturbances on lines 1 and 2 Kolaka-Lasusua produce an error value of 1.533 km (9.24%) and 1.547 km (9.32%) when compared to fault locator readings of 3.212 km (19.36%) and 1.812 km ( 10.92%). Meanwhile, the Unaaha-Kolaka transmission line produces a distance difference of 0.709 km (3.29%) when compared to the fault locator reading of 4.323 km (20.12%). The results of the power flow simulation produce an installed generating capacity of 188 MW, a total active power of 116.780 MW and a reactive power of 29,944 Mvar. Thus, it can be concluded that the Takagi Method has a better accuracy value in reading fault locators.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Halu Oleo</dc:publisher>
	<dc:contributor xml:lang="en-US">Universitas Halu Oleo</dc:contributor>
	<dc:date>2022-06-23</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs.uho.ac.id/index.php/JFE/article/view/23386</dc:identifier>
	<dc:identifier>10.33772/jfe.v7i2.23386</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali); Vol 7, No 2 (2022): Jurnal Elektroda Vol 7 No 2; 89-96</dc:source>
	<dc:source>2502-5562</dc:source>
	<dc:source>10.33772/jfe.v7i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs.uho.ac.id/index.php/JFE/article/view/23386/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Pebi Wahyudin, Mustarum Musaruddin, Hasmina Tari Mokui</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>