Ant colony system-based algorithm for optimal multi-stage planning of distribution transformer sizing

Amoiralis, EI; Georgilakis, PS; Tsili, MA; Kladas, AG

dc.contributor.author	Amoiralis, EI	en
dc.contributor.author	Georgilakis, PS	en
dc.contributor.author	Tsili, MA	en
dc.contributor.author	Kladas, AG	en
dc.date.accessioned	2014-03-01T02:45:07Z
dc.date.available	2014-03-01T02:45:07Z
dc.date.issued	2008	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32162
dc.subject	Ant colony optimization	en
dc.subject	Distribution network planning	en
dc.subject	Energy loss cost	en
dc.subject	Optimal transformer sizing	en
dc.subject	Thermal loading	en
dc.subject	Transformers	en
dc.subject.other	Costs	en
dc.subject.other	Distributed parameter networks	en
dc.subject.other	Distribution of goods	en
dc.subject.other	Electric power distribution	en
dc.subject.other	Electron energy loss spectroscopy	en
dc.subject.other	Energy dissipation	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Knowledge engineering	en
dc.subject.other	Modernization	en
dc.subject.other	Thermal load	en
dc.subject.other	Thermal stress	en
dc.subject.other	Ant colony optimization	en
dc.subject.other	Distribution network planning	en
dc.subject.other	Energy loss cost	en
dc.subject.other	Optimal transformer sizing	en
dc.subject.other	Thermal loading	en
dc.subject.other	Transformers	en
dc.subject.other	Optimization	en
dc.title	Ant colony system-based algorithm for optimal multi-stage planning of distribution transformer sizing	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-85565-1-2	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-85565-1-2	en
heal.publicationDate	2008	en
heal.abstract	This paper proposes a stochastic optimization method, based on ant colony optimization, for the optimal choice of transformer sizes to be installed in a distribution network. This method is properly introduced to the solution of the optimal transformer sizing problem, taking into account the constraints imposed by the load the transformer serves throughout its life time and the possible transformer thermal overloading. The possibility to upgrade the transformer size one or more times throughout the study period results to different sizing paths, and ant colony optimization is applied in order to determine the least cost path, taking into account the transformer capital cost as well as the energy loss cost during the study period. The results of the proposed method demonstrate the benefits of its application in the distribution network planning. © 2008 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-85565-1-2	en
dc.identifier.volume	5178 LNAI	en
dc.identifier.issue	PART 2	en
dc.identifier.spage	9	en
dc.identifier.epage	17	en