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.
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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
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DOI: https://doi.org/10.1007/978-3-540-85565-1_2
Publisher Name: Springer, Berlin, Heidelberg
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