relation: https://khub.utp.edu.my/scholars/2677/
title: Optimal design of a furnace transformer by intelligent evolutionary methods
creator: Rama Rao, K.S.
creator: Karsiti, M.N.
description: This paper presents three intelligent evolutionary optimization techniques to investigate the optimal design parameters of a 3-phase furnace transformer. The transformer rating is derived from the operating conditions of a medium size direct arc furnace. Scatter Search (SS), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) techniques are employed on the developed nonlinear mathematical model of the transformer for constrained optimization minimizing the cost. The design and analysis programs of the furnace transformer are developed using codes written in C++/C language. The optimal design data results validated by an example show the efficacy of the three intelligent techniques. Among the three methods, the optimal results obtained by GA and PSO techniques show the potential for implementing as efficient search techniques for design optimization of furnace transformers. © 2012 Elsevier Ltd. All rights reserved.
date: 2012
type: Article
type: PeerReviewed
identifier:   Rama Rao, K.S. and Karsiti, M.N.  (2012) Optimal design of a furnace transformer by intelligent evolutionary methods.  International Journal of Electrical Power and Energy Systems, 43 (1).  pp. 1056-1062.  ISSN 01420615     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84863753760&doi=10.1016%2fj.ijepes.2012.06.019&partnerID=40&md5=3b305d9533def6e2de34559a1252aaff
relation: 10.1016/j.ijepes.2012.06.019
identifier: 10.1016/j.ijepes.2012.06.019