Jurnal
Distributed Generation Optimal Placement Study Considering Increased Loads
Studi Penempatan Distributed Generation Optimal Mempertimbangkan Kenaikan Beban
Jurnal Eksitasi · Vol. 1 No. 2 (2022) · pp. 7–11
ISSN 2829-5110
Published 2022-11-14
Publisher Departemen Teknik Elektro
Language id
Abstract
English
The distribution network is strongly influenced by an increase in the demand for electrical energy, which can cause increased power losses in the system and a decrease in bus voltage in the system. To overcome the problem of increasing power loss in the system and reducing voltage, then one alternative that can be done is the use of Distributed Generation (DG) in the distribution system. To get the best power loss reductionpossible, the determination of the location and capacity of DG must be carried out optimally by using an optimization method. In this study, the optimization method used is the Flower Pollination Algorithm (FPA) method. This research was tested on a 33 bus radial distribution system with IEEE standards by paying attention to the increase in load on the system
Bahasa Indonesia
Jaringan distribusi sangat dipengaruhi oleh adanya peningkatan permintaan energi listrik, yang dapat menyebabkan bertambahnya rugi-rugi daya pada sistem serta penurunan tegangan bus pada sistem. Untuk mengatasi permasalahan peningkatan rugi daya pada sistem dan penurunan tegangan, maka salah satu alternatif yang bisa dilakukan yaitu penggunaan Distributed Generation (DG) pada sistem distribusi. Untuk mendapatkan penurunan rugi daya sebaikmungkin maka penentuan lokasi dan kapasitas DG harus dilakukan dengan optimal dengan menggunakan suatu metode optimasi. Dalam penelitian ini, metode optimasi yang digunakan adalah metode Flower Pollination Algorithm (FPA). Penelitian ini diujikan pada sistem distribusi radial 33 bus dengan standar IEEE dengan memperhatikan kenaikan beban pada sistem
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Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/eksitasi/oai,
first harvested 2 Nov 2026,
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Original metadata (oai_dc)
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<dc:title xml:lang="en">Distributed Generation Optimal Placement Study Considering Increased Loads</dc:title>
<dc:title xml:lang="id">Studi Penempatan Distributed Generation Optimal Mempertimbangkan Kenaikan Beban</dc:title>
<dc:creator xml:lang="en">Meyke Rupang </dc:creator>
<dc:creator xml:lang="en">Muhammad Bachtiar Nappu</dc:creator>
<dc:creator xml:lang="en">Ardiaty Arief</dc:creator>
<dc:creator xml:lang="id">Meyke Rupang </dc:creator>
<dc:creator xml:lang="id">Muhammad Bachtiar Nappu</dc:creator>
<dc:creator xml:lang="id">Ardiaty Arief</dc:creator>
<dc:subject xml:lang="en">distributed generation</dc:subject>
<dc:subject xml:lang="en">flower pollination algorithm</dc:subject>
<dc:subject xml:lang="en">distribution system</dc:subject>
<dc:subject xml:lang="en">power losses</dc:subject>
<dc:subject xml:lang="en">voltage profile</dc:subject>
<dc:subject xml:lang="id">sistem distribusi</dc:subject>
<dc:subject xml:lang="id">flower pollination algorithm</dc:subject>
<dc:subject xml:lang="id">distributed generation</dc:subject>
<dc:subject xml:lang="id">rugi-rugi daya</dc:subject>
<dc:subject xml:lang="id">profil tegangan</dc:subject>
<dc:description xml:lang="en">The distribution network is strongly influenced by an increase in the demand for electrical energy, which can cause increased power losses in the system and a decrease in bus voltage in the system. To overcome the problem of increasing power loss in the system and reducing voltage, then one alternative that can be done is the use of Distributed Generation (DG) in the distribution system. To get the best power loss reductionpossible, the determination of the location and capacity of DG must be carried out optimally by using an optimization method. In this study, the optimization method used is the Flower Pollination Algorithm (FPA) method. This research was tested on a 33 bus radial distribution system with IEEE standards by paying attention to the increase in load on the system</dc:description>
<dc:description xml:lang="id">Jaringan distribusi sangat dipengaruhi oleh adanya peningkatan permintaan energi listrik, yang dapat menyebabkan bertambahnya rugi-rugi daya pada sistem serta penurunan tegangan bus pada sistem. Untuk mengatasi permasalahan peningkatan rugi daya pada sistem dan penurunan tegangan, maka salah satu alternatif yang bisa dilakukan yaitu penggunaan Distributed Generation (DG) pada sistem distribusi. Untuk mendapatkan penurunan rugi daya sebaikmungkin maka penentuan lokasi dan kapasitas DG harus dilakukan dengan optimal dengan menggunakan suatu metode optimasi. Dalam penelitian ini, metode optimasi yang digunakan adalah metode Flower Pollination Algorithm (FPA). Penelitian ini diujikan pada sistem distribusi radial 33 bus dengan standar IEEE dengan memperhatikan kenaikan beban pada sistem</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/24007</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; 7-11</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; 7-11</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/24007/8860</dc:relation>
</oai_dc:dc>
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APA 7
Rupang, M., Nappu, M. B., Arief, A., Rupang, M., Nappu, M. B., & Arief, A. (2022). Distributed Generation Optimal Placement Study Considering Increased Loads. Jurnal Eksitasi, 1(2), 7–11. https://journal.unhas.ac.id/index.php/eksitasi/article/view/24007
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IEEE
M. Rupang, M. B. Nappu, A. Arief, M. Rupang, M. B. Nappu, and A. Arief, “Distributed Generation Optimal Placement Study Considering Increased Loads,” Jurnal Eksitasi, vol. 1, no. 2, pp. 7–11, 2022.
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