Melola Discovery

← Melola Discovery

Jurnal SINTA 1

Atmosphere Clouds Model Algorithm for Solving Optimal Reactive Power Dispatch Problem

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 2 No. 2 (2014) · hlm. 76–85

DOI
10.52549/ijeei.v2i2.104
ISSN
2089-3272, 2089-3272
Terbit
2014-06-01
Penerbit
IAES Indonesian Section
Bahasa
en

Abstrak

In this paper, a new method, called Atmosphere Clouds Model (ACM) algorithm, used for solving optimal reactive power dispatch problem. ACM stochastic optimization algorithm stimulated from the behavior of cloud in the natural earth. ACM replicate the generation behavior, shift behavior and extend behavior of cloud. The projected (ACM) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed algorithm in plummeting the real power loss.

Kata kunci

Jaringan kolaborasi para penulis

9 penulis · 15 tautan kepenulisan bersama

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

  • 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
B. Ravindhranath ReddyAfiliasi tidak diketahui5
Kanagasabai LeninAfiliasi tidak diketahui4
K. LeninPrasad V. Potluri Siddhartha Institute of Technology3
Syed Munvar AliAfiliasi tidak diketahui2
V Vijaya Kumar ReddyAfiliasi tidak diketahui1
V. Vijaya kumar ReddyAfiliasi tidak diketahui1

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">Atmosphere Clouds Model Algorithm for Solving Optimal Reactive Power Dispatch Problem</dc:title>
	<dc:creator xml:lang="en">Kanagasabai, Lenin</dc:creator>
	<dc:creator xml:lang="en">Reddy, B.Ravindranath</dc:creator>
	<dc:creator xml:lang="en">Kalavathi, M.Surya</dc:creator>
	<dc:subject xml:lang="en">Optimal Reactive Power</dc:subject>
	<dc:subject xml:lang="en">Transmission loss</dc:subject>
	<dc:subject xml:lang="en">Termite Colony Optimization</dc:subject>
	<dc:subject xml:lang="en">Bio-inspired algorithm.</dc:subject>
	<dc:description xml:lang="en"> In this paper, a new method, called Atmosphere Clouds Model (ACM) algorithm, used for solving optimal reactive power dispatch problem. ACM stochastic optimization algorithm stimulated from the behavior of cloud in the natural earth. ACM  replicate the generation behavior, shift behavior and extend behavior of cloud. The projected (ACM) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed algorithm in plummeting the real power loss.  </dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2014-06-01</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/104</dc:identifier>
	<dc:identifier>10.52549/ijeei.v2i2.104</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 2 No. 2: June 2014; 76-85</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/104/56</dc:relation>
</oai_dc:dc>