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Reduction of Active Power Loss byUsing Adaptive Cat Swarm Optimization

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 2 No. 3 (2014) · pp. 111–118

DOI
10.52549/ijeei.v2i3.111
ISSN
2089-3272, 2089-3272
Published
2014-09-01
Publisher
IAES Indonesian Section
Language
en

Abstract

This paper presents, an Adaptive Cat Swarm Optimization (ACSO) for solving reactive power dispatch problem. Cat Swarm Optimization (CSO) is one of the new-fangled swarm intelligence algorithms for finding the most excellent global solution. Because of complication, sometimes conventional CSO takes a lengthy time to converge and cannot attain the precise solution. For solving reactive power dispatch problem and to improve the convergence accuracy level, we propose a new adaptive CSO namely ‘Adaptive Cat Swarm Optimization’ (ACSO). First, we take account of a new-fangled adaptive inertia weight to velocity equation and then employ an adaptive acceleration coefficient. Second, by utilizing the information of two previous or next dimensions and applying a new-fangled factor, we attain to a new position update equation composing the average of position and velocity information. The projected ACSO has been tested on standard IEEE 57 bus test system and simulation results shows clearly about the high-quality performance of the planned algorithm in tumbling the real power loss.

Keywords

Collaboration network of the authors

6 authors · 10 co-authorship links

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  • Prasad V. Potluri Siddhartha Institute of Technology
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
M.Surya KalavathiAffiliation unknown4
B. Ravindhranath ReddyAffiliation unknown3
Lenin KanagasabaiAffiliation unknown1
K. LeninPrasad V. Potluri Siddhartha Institute of Technology1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://section.iaesonline.com/index.php/IJEEI/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Reduction of Active Power Loss byUsing Adaptive Cat Swarm Optimization</dc:title>
	<dc:creator xml:lang="en">Lenin, Kanagasabai</dc:creator>
	<dc:creator xml:lang="en">Reddy, B.Ravindranath</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">Adaptive cat swarm optimization.</dc:subject>
	<dc:description xml:lang="en">This paper presents, an Adaptive Cat Swarm Optimization (ACSO) for solving reactive power dispatch problem. Cat Swarm Optimization (CSO) is one of the new-fangled swarm intelligence algorithms for finding the most excellent global solution. Because of complication, sometimes conventional CSO takes a lengthy time to converge and cannot attain the precise solution. For solving reactive power dispatch problem and to improve the convergence accuracy level, we propose a new adaptive CSO namely ‘Adaptive Cat Swarm Optimization’ (ACSO). First, we take account of a new-fangled adaptive inertia weight to velocity equation and then employ an adaptive acceleration coefficient. Second, by utilizing the information of two previous or next dimensions and applying a new-fangled factor, we attain to a new position update equation composing the average of position and velocity information. The projected ACSO has been tested on standard IEEE 57 bus test system and simulation results shows clearly about the high-quality performance of the planned algorithm in tumbling the real power loss.</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2014-09-01</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/111</dc:identifier>
	<dc:identifier>10.52549/ijeei.v2i3.111</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 2 No. 3: September 2014; 111-118</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/111/59</dc:relation>
</oai_dc:dc>