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.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Chen, C.-S., Wu, T.-H.: Optimal Distribution Transformer Sizing by Dynamic Programming. Elecrical Power & Energy Systems 20, 161–167 (1998)
Jovanovic, D.: Planning of Optimal Location and Sizes of Distribution Transformers using Integer Programming. Elecrical Power & Energy Systems 25, 717–723 (2003)
Dorigo, M., Stützle, T.: Ant Colony Optimization. MIT Press, Cambridge (2004)
Stützle, T., Hoos, H.H.: MAX-MIN Ant System. Future Generation Computer Systems 16, 889–914 (2000)
Merkle, D., Middendorf, M., Schmeck, H.: Ant Colony Optimization for Resource-constrained Project Scheduling. IEEE Transactions on Evolutionary Computation 6, 333–346 (2002)
Leguizamon, G., Michalewicz, Z.: A New Version of Ant System for Subset Problems. In: Proc. of the 1999 Congress on Evolutionary Computation, vol. 2, pp. 1459–1464 (1999)
Blum, C.: Ant Colony Optimization: Introduction and Recent Trends. Physics of Life Reviews 2, 353–373 (2005)
Amoiralis, E.I., Tsili, M.A., Georgilakis, P.S., Kladas, A.G.: Ant Colony Solution to Optimal Transformer Sizing Problem. In: CD Proc. of EPQU (2007)
IEEE Guide for Loading Mineral-Oil-Immersed Transformers, IEEE Std C57.91 (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Amoiralis, E.I., Georgilakis, P.S., Tsili, M.A., Kladas, A.G. (2008). Ant Colony System-Based Algorithm for Optimal Multi-stage Planning of Distribution Transformer Sizing. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-85565-1_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85564-4
Online ISBN: 978-3-540-85565-1
eBook Packages: Computer ScienceComputer Science (R0)