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Design to optimize the location, number, and performance of dynamic voltage restorers using artificial neural networks

International Journal of Applied Power Engineering (IJAPE) · Vol. 15 No. 2 (2026) · pp. 793–807

DOI
10.11591/ijape.v15.i2.pp793-807
ISSN
2722-2624, 2252-8792
Published
2026-06-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The need for electrical energy always increases from year to year. This means that the distribution system in the electric power system needs to pay attention to its level of stability and reliability. A low level of stability can cause disruption and result in losses. The system's stability and reliability can be increased by installing custom power devices (CPD) equipment such as a dynamic voltage restorer (DVR). In this research, the location, number, and performance of DVRs are optimized using an artificial neural network based on the voltage stability of the distribution network in the Sibolga Penyulang SB02 area. Based on the research results, buses 2, 12, 24, 27, and 35 are the best places to install DVRs, and the system will have five DVRs installed. A three-phase short circuit simulation was used to determine how feeder stability was impacted by DVR performance. Then, the voltage falls to 0.1770 p.u. during a disturbance and then rises to 0.8073 p.u., which is within the typical voltage limit of > 0.9 p.u. It means that DVRs restored the voltage fully to the acceptable threshold.

Keywords

Collaboration network of the authors

31 authors · 67 co-authorship links · 15 across different organisations

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

  • Universitas Sumatera Utara
  • Universiti Teknologi MARA
  • Kanazawa University
  • University of Technology Malaysia
  • Yangon Technological University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nur Nabila MohamedUniversiti Teknologi MARA4
Mashitah Mohd HussainUniversiti Teknologi MARA2
Naemah MubarakahUniversitas Sumatera Utara2
Soeharwinto SoeharwintoUniversitas Sumatera Utara2
Mohammad Nayeim Fazumy Mohd TajudinUniversiti Teknologi MARA1
Intan Rahayu IbrahimUniversiti Teknologi MARA1
Timothy Juan Hartanto LumbanrajaUniversitas Sumatera Utara1
Yasunori TanakaKanazawa University1
Yanuar Zulardiansyah AriefUniversity of Technology Malaysia1
Maulaya MuhammadUniversitas Sumatera Utara1
Riswan DinziUniversitas Sumatera Utara1
Mai Kai Suan TialYangon Technological University1
Azrial Aziz Azhari NasutionUniversitas Sumatera Utara1
Farel SitumeangUniversitas Sumatera Utara1
Syahrun MubarokUniversitas Sumatera Utara1
Naomi AzhariUniversitas Sumatera Utara1
Nofri Yenita DahlanUniversiti Teknologi MARA1
Zuhaina ZakariaUniversiti Teknologi MARA1
Ihsan Mohd YassinAffiliation unknown1
Muhammad Aulia DeskyAffiliation unknown1
Maksum PinemAffiliation unknown1
Wahyu Franciscus SihotangAffiliation unknown1
Christian Kevin Imanuel SimarmataAffiliation unknown1
Issarachai NgamrooAffiliation unknown1
Aswardi AswardiAffiliation unknown1
Ahyanuardi AhyanuardiAffiliation unknown1

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) http://ijape.iaescore.com/index.php/IJAPE/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Design to optimize the location, number, and performance of dynamic voltage restorers using artificial neural networks</dc:title>
	<dc:creator>Siregar, Yulianta</dc:creator>
	<dc:creator>Taqy, Faizzufar</dc:creator>
	<dc:creator>Hussain, Mohd Najib Mohd</dc:creator>
	<dc:creator>Prihtiadi, Hafizh</dc:creator>
	<dc:creator>Yuhendri, Muldi</dc:creator>
	<dc:subject xml:lang="en-US">artificial neural network; distribution network; dynamic voltage restorer; optimization; voltage stability</dc:subject>
	<dc:description xml:lang="en-US">The need for electrical energy always increases from year to year. This means that the distribution system in the electric power system needs to pay attention to its level of stability and reliability. A low level of stability can cause disruption and result in losses. The system's stability and reliability can be increased by installing custom power devices (CPD) equipment such as a dynamic voltage restorer (DVR). In this research, the location, number, and performance of DVRs are optimized using an artificial neural network based on the voltage stability of the distribution network in the Sibolga Penyulang SB02 area. Based on the research results, buses 2, 12, 24, 27, and 35 are the best places to install DVRs, and the system will have five DVRs installed. A three-phase short circuit simulation was used to determine how feeder stability was impacted by DVR performance. Then, the voltage falls to 0.1770 p.u. during a disturbance and then rises to 0.8073 p.u., which is within the typical voltage limit of &amp;gt; 0.9 p.u. It means that DVRs restored the voltage fully to the acceptable threshold.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2026-06-01</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"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijape.iaescore.com/index.php/IJAPE/article/view/21897</dc:identifier>
	<dc:identifier>10.11591/ijape.v15.i2.pp793-807</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Applied Power Engineering (IJAPE); Vol 15, No 2: June 2026; 793-807</dc:source>
	<dc:source>2722-2624</dc:source>
	<dc:source>2252-8792</dc:source>
	<dc:source>10.11591/ijape.v15.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijape.iaescore.com/index.php/IJAPE/article/view/21897/13462</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Yulianta Siregar, Faizzufar Taqy, Mohd Najib Mohd Hussain, Hafizh Prihtiadi, Muldi Yuhendri</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>