Melola Discovery

← Melola Discovery

Jurnal SINTA 1

Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power Problem

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 5 No. 3 (2017) · hlm. 192–198

DOI
10.52549/ijeei.v5i3.291
ISSN
2089-3272, 2089-3272
Terbit
2017-09-01
Penerbit
IAES Indonesian Section
Bahasa
en

Abstrak

This paper proposes Embellished Particle Swarm Optimization (EPSO) algorithm for solving reactive power problem.The main concept of Embellished Particle Swarm Optimization is to extend the single population PSO to the interacting multi-swarm model. Through this multi-swarm cooperative approach, diversity in the whole swarm community can be upheld. Concurrently, the swarm-to-swarm mechanism drastically speeds up the swarm community to converge to the global near optimum. In order to evaluate the performance of the proposed algorithm, it has been tested in standard IEEE 57,118 bus systems and results show that Embellished Particle Swarm Optimization (EPSO) is more efficient in reducing the Real power losses when compared to other standard reported algorithms.

Kata kunci

Jaringan kolaborasi para penulis

7 penulis · 10 tautan kepenulisan bersama · 3 lintas organisasi

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Jawaharlal Nehru Technological University, Hyderabad
  • Prasad V. Potluri Siddhartha Institute of Technology
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Munagala Surya KalavathiJawaharlal Nehru Technological University, Hyderabad2
M.Surya KalavathiAfiliasi tidak diketahui2
B. Ravindhranath ReddyAfiliasi tidak diketahui2
Bumanapalli Ravindranath ReddyJawaharlal Nehru Technological University, Hyderabad1
B.Ravindranath ReddyAfiliasi tidak diketahui1
Bhumanapally Ravindhranath ReddyJawaharlal Nehru Technological University, Hyderabad1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://section.iaesonline.com/index.php/IJEEI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (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">Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power Problem</dc:title>
	<dc:creator xml:lang="en">Lenin, Kanagasabai</dc:creator>
	<dc:subject xml:lang="en">Reactive power</dc:subject>
	<dc:subject xml:lang="en">Transmission loss</dc:subject>
	<dc:subject xml:lang="en">Embellished Particle Swarm</dc:subject>
	<dc:subject xml:lang="en">Optimization.</dc:subject>
	<dc:description xml:lang="en">This paper proposes Embellished Particle Swarm Optimization (EPSO) algorithm for solving reactive power problem .The main concept of Embellished Particle Swarm Optimization is to extend the single population PSO to the interacting multi-swarm model. Through this multi-swarm cooperative approach, diversity in the whole swarm community can be upheld. Concurrently, the swarm-to-swarm mechanism drastically speeds up the swarm community to converge to the global near optimum. In order to evaluate the performance of the proposed algorithm, it has been tested in standard IEEE 57,118 bus systems and results show that Embellished Particle Swarm Optimization (EPSO) is more efficient in reducing the Real power losses when compared to other standard reported algorithms.</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2017-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://section.iaesonline.com/index.php/IJEEI/article/view/291</dc:identifier>
	<dc:identifier>10.52549/ijeei.v5i3.291</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 5 No. 3: September 2017; 192-198</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://section.iaesonline.com/index.php/IJEEI/article/view/291/pdf</dc:relation>
</oai_dc:dc>