TY  - CONF
AV  - none
CY  - Putrajaya
ID  - scholars83
TI  - Optimal design of a furnace transformer by genetic algorithm
SP  - 531
KW  - Algorithms; Bioelectric phenomena; Boolean functions; Cavity resonators; Diesel engines; Function evaluation; Furnaces; Genetic algorithms; Mathematical models
KW  -  (+ mod 2N) operation; Arc furnaces; Arc melting; Design optimization (DO); Efficient search; Furnace transformer (FT); Genetic algorithm (GA); In order; International (CO); Multi-objective function (MOF); Nonlinear mathematical model; Optimal designs; Performance characteristics; Performance constraints
KW  -  Optimization
N1  - cited By 3; Conference of 1st International Power and Energy Conference, PECon 2006 ; Conference Date: 28 November 2006 Through 29 November 2006; Conference Code:72409
N2  - 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.
SN  - 1424402735; 9781424402731
Y1  - 2006///
EP  - 536
A1  - Rao, K.S.R.
A1  - Raju, M.R.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-46249093048&doi=10.1109%2fPECON.2006.346709&partnerID=40&md5=9a2e57e193e92c30c5ed0ccba409ef66
ER  -