Optimal Distributed Generation Deployment Considering Network Reconfiguration

Nurul Annisa Musdir; Ardiaty Arief; Muhammad Bachtiar Nappu; Nurul Annisa Musdir; Ardiaty Arief; Muhammad Bachtiar Nappu

Jurnal

Optimal Distributed Generation Deployment Considering Network Reconfiguration

Penempatan Distributed Generation Optimal Mempertimbangkan Rekonfigurasi Jaringan

Jurnal Eksitasi · Vol. 1 No. 2 (2022) · pp. 29–35

ISSN: 2829-5110
Published: 2022-11-14
Publisher: Departemen Teknik Elektro
Language: id

Abstract

English

An increase in electrical energy can cause an increase in power losses and a decrease in voltage in the system. One of the efforts made to reduce power losses that occur in the distribution network is by placing Distributed Generation (DG). There have been many studies related to optimal DG placement and one of the artificial intelligence methods used to solve this problem is the flower pollination algorithm method. In addition, network reconfiguration can improve power quality by reducing power losses, increasing reliability, voltage stability and load balance. This study aims to determine the optimal position and capacity of DG and determine the impact or effect of network reconfiguration on DG installation solutions in radial distribution systems.

Bahasa Indonesia

Peningkatan energi listrik dapat menyebabkan adanya peningkatan rugi-rugi daya dan penurunan tegangan pada sistem. Salah satu upaya yang dilakukan untuk mengurangi rugi-rugi daya yang terjadi di jaringan distribusi yaitu dengan penempatanDistributed Generation (DG). Telah banyak penelitian terkait penempatan DG optimal dan salah satu metode kecerdasan buatan yang digunakan untuk menyelesaikan permasalahan ini adalah metode algoritma penyerbukan bunga. Selain itu, rekonfigurasi jaringan dapat meningkatkan kualitas daya dengan cara mengurangi rugi-rugi daya, meningkatkan keandalan,kestabilan tegangan dan keseimbangan pembebanan. Penelitian ini bertujuan untuk menentukan posisi dan kapasitas DG optimal serta mengetahui dampak atau pengaruh dengan adanya rekonfigurasi jaringan terhadap solusi pemasangan DG pada sistem distribusi radial.

Keywords

Collaboration network of the authors

9 authors · 17 co-authorship links

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Co-author	Organisation	Joint articles
Meyke Rupang	Affiliation unknown	2
Muflih Zain	Affiliation unknown	2
Dianti Utamidewi	Affiliation unknown	2
Ian Adrian Bustanuddin	Affiliation unknown	2
Siti Annisa Syalsabila	Affiliation unknown	1
Tajuddin Waris	Affiliation unknown	1

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://journal.unhas.ac.id/index.php/eksitasi/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en">Optimal Distributed Generation Deployment Considering Network Reconfiguration</dc:title>
	<dc:title xml:lang="id">Penempatan Distributed Generation Optimal Mempertimbangkan Rekonfigurasi Jaringan </dc:title>
	<dc:creator xml:lang="en">Nurul Annisa Musdir</dc:creator>
	<dc:creator xml:lang="en">Ardiaty Arief</dc:creator>
	<dc:creator xml:lang="en">Muhammad Bachtiar Nappu</dc:creator>
	<dc:creator xml:lang="id">Nurul Annisa Musdir</dc:creator>
	<dc:creator xml:lang="id">Ardiaty Arief</dc:creator>
	<dc:creator xml:lang="id">Muhammad Bachtiar Nappu</dc:creator>
	<dc:subject xml:lang="en">Distributed Generation</dc:subject>
	<dc:subject xml:lang="en">algorithm flower pollination</dc:subject>
	<dc:subject xml:lang="en">network reconfiguration</dc:subject>
	<dc:subject xml:lang="en">power losses</dc:subject>
	<dc:subject xml:lang="en">voltage</dc:subject>
	<dc:subject xml:lang="id">Distributed Generation</dc:subject>
	<dc:subject xml:lang="id">algoritma penyerbukan bunga</dc:subject>
	<dc:subject xml:lang="id">rekonfigurasi jaringan</dc:subject>
	<dc:subject xml:lang="id">tegangan</dc:subject>
	<dc:subject xml:lang="id">power losses</dc:subject>
	<dc:description xml:lang="en">An increase in electrical energy can cause an increase in power losses and a decrease in voltage in the system. One of the efforts made to reduce power losses that occur in the distribution network is by placing Distributed Generation (DG). There have been many studies related to optimal DG placement and one of the artificial intelligence methods used to solve this problem is the flower pollination algorithm method. In addition, network reconfiguration can improve power quality by reducing power losses, increasing reliability, voltage stability and load balance. This study aims to determine the optimal position and capacity of DG and determine the impact or effect of network reconfiguration on DG installation solutions in radial distribution systems.</dc:description>
	<dc:description xml:lang="id">Peningkatan energi listrik dapat menyebabkan adanya peningkatan rugi-rugi daya dan penurunan tegangan pada sistem. Salah satu upaya yang dilakukan untuk mengurangi rugi-rugi daya yang terjadi di jaringan distribusi yaitu dengan penempatanDistributed Generation (DG). Telah banyak penelitian terkait penempatan DG optimal dan salah satu metode kecerdasan buatan yang digunakan untuk menyelesaikan permasalahan ini adalah metode algoritma penyerbukan bunga. Selain itu, rekonfigurasi jaringan dapat meningkatkan kualitas daya dengan cara mengurangi rugi-rugi daya, meningkatkan keandalan,kestabilan tegangan dan keseimbangan pembebanan. Penelitian ini bertujuan untuk menentukan posisi dan kapasitas DG optimal serta mengetahui dampak atau pengaruh dengan adanya rekonfigurasi jaringan terhadap solusi pemasangan DG pada sistem distribusi radial.</dc:description>
	<dc:publisher xml:lang="id">Departemen Teknik Elektro</dc:publisher>
	<dc:date>2022-11-14</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="id">Artikel Peer-review</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/eksitasi/article/view/24010</dc:identifier>
	<dc:source xml:lang="en">Jurnal Eksitasi; Vol. 1 No. 2 (2022): Journal of Excitation of the Department of Electrical Engineering. Vol. 1. No. 2. 2022; 29-35</dc:source>
	<dc:source xml:lang="id">JURNAL EKSITASI DEPARTEMEN TEKNIK ELEKTRO; Vol 1 No 2 (2022): Jurnal Eksitasi Departemen Teknik Elektro Vol. 1. No. 2.  2022; 29-35</dc:source>
	<dc:source>2829-5110</dc:source>
	<dc:language>id</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/eksitasi/article/view/24010/8863</dc:relation>
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