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Solving optimal reactive power problem by improved variable mesh optimization algorithm

International Journal of Advances in Applied Sciences · Vol. 8 No. 4 (2019) · hlm. 279–284

DOI
10.11591/ijaas.v8.i4.pp279-284
ISSN
2722-2594, 2252-8814
Terbit
2019-12-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

In this work Improved Variable Mesh Optimization Algorithm (IVM) has been applied to solve the optimal reactive power problem. Projected Improved VMO algorithm has been modeled by hybridization of Variable mesh optimization algorithm with Clearing-Based Niche Formation Technique, Differential Evolution (DE) algorithm. Mesh formation and exploration has been enhanced by the hybridization. Amongst of niche development process, clearing is a renowned method in which general denominator is the formation of steady subpopulations (niches) at all local optima (peaks) in the exploration space. In Differential Evolution (DE) population is formed by common sampling within the stipulated smallest amount and maximum bounds. Subsequently DE travel into the iteration process where the progressions like, mutation, crossover, and selection, are followed. Proposed Improved Variable Mesh Optimization Algorithm (IVM) has been tested in standard IEEE 14,300 bus test system and simulationresults show the projected algorithm reduced the real power loss extensively.

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  • Jawaharlal Nehru Technological University, Hyderabad
  • Prasad V. Potluri Siddhartha Institute of Technology
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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

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijaas.iaescore.com/index.php/IJAAS/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-US">Solving optimal reactive power problem by improved variable mesh optimization algorithm</dc:title>
	<dc:creator>Lenin, Kanagasabai</dc:creator>
	<dc:description xml:lang="en-US">In this work Improved Variable Mesh Optimization Algorithm (IVM) has been applied to solve the optimal reactive power problem. Projected Improved VMO algorithm has been modeled by hybridization of Variable mesh optimization algorithm with Clearing-Based Niche Formation Technique, Differential Evolution (DE) algorithm. Mesh formation and exploration has been enhanced by the hybridization. Amongst of niche development process, clearing is a renowned method in which general denominator is the formation of steady subpopulations (niches) at all local optima (peaks) in the exploration space. In Differential Evolution (DE) population is formed by common sampling within the stipulated smallest amount and maximum bounds. Subsequently DE travel into the iteration process where the progressions like, mutation, crossover, and selection, are followed. Proposed Improved Variable Mesh Optimization Algorithm (IVM) has been tested in standard IEEE 14,300 bus test system and simulationresults show the projected algorithm reduced the real power loss extensively.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2019-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijaas.iaescore.com/index.php/IJAAS/article/view/19833</dc:identifier>
	<dc:identifier>10.11591/ijaas.v8.i4.pp279-284</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Advances in Applied Sciences; Vol 8, No 4: December 2019; 279-284</dc:source>
	<dc:source>2722-2594</dc:source>
	<dc:source>2252-8814</dc:source>
	<dc:source>10.11591/ijaas.v8.i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijaas.iaescore.com/index.php/IJAAS/article/view/19833/12855</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Kanagasabai Lenin</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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