Ant colony solution to optimal transformer sizing problem

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

dc.contributor.author	Amoiralis, EI	en
dc.contributor.author	Tsili, MA	en
dc.contributor.author	Georgilakis, PS	en
dc.contributor.author	Kladas, AG	en
dc.date.accessioned	2014-03-01T02:44:28Z
dc.date.available	2014-03-01T02:44:28Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31835
dc.subject	Ant colony optimization	en
dc.subject	Component	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	Electric measuring instruments	en
dc.subject.other	Electric power supplies to apparatus	en
dc.subject.other	Energy dissipation	en
dc.subject.other	Modernization	en
dc.subject.other	Power quality	en
dc.subject.other	Ant colony optimization	en
dc.subject.other	Component	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	Electric load forecasting	en
dc.title	Ant colony solution to optimal transformer sizing problem	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/EPQU.2007.4424161	en
heal.identifier.secondary	http://dx.doi.org/10.1109/EPQU.2007.4424161	en
heal.identifier.secondary	4424161	en
heal.publicationDate	2007	en
heal.abstract	This paper proposes a non-deterministic methodology, based on ant colony optimization, for the optimal choice of transformer sizes to serve a forecasted load. This methodology is properly introduced to the solution of the optimal transformer sizing problem, taking into account the constraints imposed by the load to be served by the transformer throughout its life time and the possible 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 methodology demonstrate the benefits of its application in comparison to simplified sizing strategies.	en
heal.journalName	2007 9th International Conference on Electrical Power Quality and Utilisation, EPQU	en
dc.identifier.doi	10.1109/EPQU.2007.4424161	en