relation: https://khub.utp.edu.my/scholars/83/
title: Optimal design of a furnace transformer by genetic algorithm
creator: Rao, K.S.R.
creator: Raju, M.R.
description: This paper presents design optimization of a class of special purpose transformers used in direct-arc melting furnace, adopting Genetic Algorithm (GA). The operation and performance characteristics of a furnace transformer connected to a large direct arc furnace formed the basis for realizing the rating of the transformer. The nonlinear mathematical model of the transformer is based on the core geometry available from manufacturer's published data. In order to verify the effectiveness of GA method, an example is considered. The results show the potential for implementation of GA as an efficient search technique for design optimization of transformers. A discussion on the variation of GA parameters while minimizing the single and multi-objective functions satisfying the performance constraints concludes the paper. © 2006 IEEE.
date: 2006
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Rao, K.S.R. and Raju, M.R.  (2006) Optimal design of a furnace transformer by genetic algorithm.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-46249093048&doi=10.1109%2fPECON.2006.346709&partnerID=40&md5=9a2e57e193e92c30c5ed0ccba409ef66
relation: 10.1109/PECON.2006.346709
identifier: 10.1109/PECON.2006.346709