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	       <dc:title>A new approach for optimum DG placement and sizing based on voltage stability maximization and minimization of power losses</dc:title>
	       <dc:creator>Aman, M.M., E-mail: mohsinaman@gmail.com [Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur (Malaysia)]; Jasmon, G.B., E-mail: ghauth@um.edu.my [Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur (Malaysia)]; Bakar, A. H.A., [UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4, Wisma R and D UM, University of Malaya, Jalan Pantai Baharu, 59990 Kuala Lumpur (Malaysia)]; Mokhlis, H., E-mail: hazli@um.edu.my [Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur (Malaysia); UM Power Energy Dedicated Advanced Centre (UMPEDAC) Level 4, Wisma R and D UM, University of Malaya, Jalan Pantai Baharu, 59990 Kuala Lumpur (Malaysia)]</dc:creator>
	       <dc:subject>71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; ALGORITHMS; ELECTRIC POTENTIAL; GRIDS; MINIMIZATION; POWER LOSSES; POWER SYSTEMS; REDUCTION; SPATIAL DISTRIBUTION; STABILITY</dc:subject>
	       <dc:subjectRelated></dc:subjectRelated>
	       <dc:description>Highlights: • A new algorithm is proposed for optimum DG placement and sizing.• I{sup 2}R losses minimization and voltage stability maximization is considered in fitness function.• Bus voltage stability and line stability is considered in voltage stability maximization.• Multi-objective PSO is used to solve the problem.• Proposed method is compared with analytical and grid search algorithm. - Abstract: Distributed Generation (DG) placement on the basis of minimization of losses and maximization of system voltage stability are two different approaches, discussed in research. In the new proposed algorithm, a multi-objective approach is used to combine the both approaches together. Minimization of power losses and maximization of voltage stability due to finding weakest voltage bus as well as due to weakest link in the system are considered in the fitness function. Particle Swarm Optimization (PSO) algorithm is used in this paper to solve the multi-objective problem. This paper will also compare the propose method with existing DG placement methods. From results, the proposed method is found more advantageous than the previous work in terms of voltage profile improvement, maximization of system loadability, reduction in power system losses and maximization of bus and line voltage stability. The results are validated on 12-bus, 30-bus, 33-bus and 69-bus radial distribution networks and also discussed in detailed.</dc:description>
	       <dcq:publisher></dcq:publisher>
	       <dcq:publisherResearch></dcq:publisherResearch>
	       <dcq:publisherAvailability>Available from http://dx.doi.org/10.1016/j.enconman.2013.02.015</dcq:publisherAvailability>
	       <dcq:publisherSponsor></dcq:publisherSponsor>
	       <dcq:publisherCountry>United Kingdom</dcq:publisherCountry>
		   <dc:contributingOrganizations></dc:contributingOrganizations>
	       <dc:date>2013-06-15</dc:date>
	       <dc:language>English</dc:language>
	       <dc:type>Journal Article</dc:type>
	       <dcq:typeQualifier></dcq:typeQualifier>
	       <dc:relation>Journal Name: Energy Conversion and Management; Journal Volume: 70; Other Information: Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)</dc:relation>
	       <dc:coverage></dc:coverage>
	       <dc:format>Medium: X; Size: page(s) 202-210</dc:format>
	       <dc:doi>https://doi.org/10.1016/J.ENCONMAN.2013.02.015</dc:doi>
	       <dc:identifier>PII: S0196-8904(13)00108-8</dc:identifier>
		   <dc:journalName>[]</dc:journalName>
		   <dc:journalIssue></dc:journalIssue>
		   <dc:journalVolume>70</dc:journalVolume>
	       <dc:identifierReport></dc:identifierReport>
	       <dcq:identifierDOEcontract></dcq:identifierDOEcontract>
	       <dc:identifierOther>Journal ID: ISSN 0196-8904; CODEN: ECMADL; Other: PII: S0196-8904(13)00108-8; TRN: GB14R4693001010</dc:identifierOther>
	       <dc:source>INIS</dc:source>
	       <dc:rights></dc:rights>
	       <dc:dateEntry>2015-01-15</dc:dateEntry>
	       <dc:dateAdded></dc:dateAdded>
	       <dc:ostiId>22294841</dc:ostiId>
	       <dcq:identifier-purl></dcq:identifier-purl>
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