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Modified Monkey Optimization Algorithm for Solving Optimal Reactive Power Dispatch Problem

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 3 No. 2 (2015) · hlm. 55–62

DOI
10.52549/ijeei.v3i2.134
ISSN
2089-3272, 2089-3272
Terbit
2015-06-01
Penerbit
IAES Indonesian Section
Bahasa
en

Abstrak

In this paper, a novel approach Modified Monkey optimization (MMO) algorithm for solving optimal reactive power dispatch problem has been presented. MMO is a population based stochastic meta-heuristic algorithm and it is inspired by intelligent foraging behaviour of monkeys. This paper improves both local leader and global leader phases. The proposed (MMO) algorithm has been tested in standard IEEE 30 bus test system and simulation results show the worthy performance of the proposed algorithm in reducing the real power loss.

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  • Prasad V. Potluri Siddhartha Institute of Technology
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Rekan penulisOrganisasiArtikel bersama
K. LeninPrasad V. Potluri Siddhartha Institute of Technology4
B.Ravindranath ReddyAfiliasi tidak diketahui2
Lenin KanagasabaiAfiliasi 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) 
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	<dc:title xml:lang="en">Modified Monkey Optimization Algorithm for Solving Optimal Reactive Power Dispatch Problem</dc:title>
	<dc:creator xml:lang="en">Lenin, Kanagasabai</dc:creator>
	<dc:creator xml:lang="en">Reddy, B.Ravindhranath</dc:creator>
	<dc:creator xml:lang="en">Kalavathi, M.Surya</dc:creator>
	<dc:description xml:lang="en">In this paper, a novel approach Modified Monkey optimization (MMO) algorithm for solving optimal reactive power dispatch problem has been presented. MMO is a population based stochastic meta-heuristic algorithm and it is inspired by intelligent foraging behaviour of monkeys. This paper improves both local leader and global leader phases.  The proposed (MMO) algorithm has been tested in standard IEEE 30 bus test system and simulation results show the worthy performance of the proposed algorithm in reducing the real power loss.</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2015-06-01</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/134</dc:identifier>
	<dc:identifier>10.52549/ijeei.v3i2.134</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 3 No. 2: June 2015; 55-62</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/134/pdf</dc:relation>
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