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Optimization of Transformer Design using Bacterial Foraging Algorithm

by S. Subramanian, S. Padma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 3
Year of Publication: 2011
Authors: S. Subramanian, S. Padma
10.5120/2338-3049

S. Subramanian, S. Padma . Optimization of Transformer Design using Bacterial Foraging Algorithm. International Journal of Computer Applications. 19, 3 ( April 2011), 52-57. DOI=10.5120/2338-3049

@article{ 10.5120/2338-3049,
author = { S. Subramanian, S. Padma },
title = { Optimization of Transformer Design using Bacterial Foraging Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 3 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 52-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume19/number3/2338-3049/ },
doi = { 10.5120/2338-3049 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:04.336318+05:30
%A S. Subramanian
%A S. Padma
%T Optimization of Transformer Design using Bacterial Foraging Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 3
%P 52-57
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Transformers are widely used in electric power system to perform the primary functions, such as voltage transformation and isolation. So the transformer design is emphasize. In this paper, a transformer design optimization method is proposed aiming at designing the transformer to optimize the efficiency and cost. The design optimization of transformer is formulated as unconstrained non linear multivariable programming technique. Five independent variables and three constraints are taken to meet the requirement of the design. A heuristic search technique Bacterial Foraging Algorithm (BFA) is used to solve the optimization problem. The effectiveness of the proposed approach has been tested with two sample transformers and the simulation results are compared against with the conventional method, Simulated Annealing (SA) technique and Particle Swarm Optimization (PSO) method. The simulation results reveal that the proposed method determines the optimal variables of transformer long with the performance parameters efficiently and accurately.

References
  1. Williams, S.B., Abetti, P.A. and Magnusson, E.F., 1956. Application of digital computers to transformer design, In Proceedings of AIEE Winter General Meeting, New York, January 30- February 3, pp. 728- 735.
  2. Andersen, O.W. 1967. Optimum design of electrical machines. IEEE Trans. actions on Power Apparatus and Systems. no. 6, pp 707-11.
  3. Anthony, J., Moses and Bleddyn Thomas. 1974. Problems in the design of power transformers. IEEE Transactions on Magnetics. vol. 10, no .2, pp. 148-150.
  4. Odessey, P.H. 1974. Transformer design by computer. IEEE Transactions on Magnetics. vol. 3, no.1, pp.1-17.
  5. Padma, S., Bhuvaneswari, R., and Subramanian, S. 2006. Optimal design of power transformer using simulated annealing technique. IEEE Conference, International Conference on Industrial Technology (ICIT), December 15-17, pp. 1015-1019, Mumbai, India.
  6. Jan Pawel Wieczorek, ozdemir Gol and Zbigniew Michalewicz. 1998. An evolutionary algorithm for the optimal design of induction motors. IEEE Transactions on Magnetics. Vol. 34, no. 6, pp. 3882 – 3887.
  7. Georgilakis, P.S., Doulamis, N.D., Doulamis, A.D., Hatziargyriou, N.D., and Kollais,S.D. 2001. A novel iron loss reduction technique for distribution transformer based on a combined genetic algorithm-neural network approach. IEEE Transaction on System, man, Cybernetics. vol. 31, no. 1, pp. 16-34.
  8. Pavlos, S., Georgilakis, Marina Tsili, A. and Athanassios Souflaris. T. 2007. A heuristic solution to the transformer manufacturing cost optimization problem. Journal of Materials Processing Technology. vol. 181, no. 1-3, pp. 260–266.
  9. Bhuvaneswari,R., and Subramanian,S. 2005. Optimization of single-phase induction motor design using radial basis function network. IEEE Indicon Conference, Dec.11-13, pp. 35-40, Chennai, India,
  10. Lucian Tutelea and Ion Boldea. 2010. Induction motor electromagnetic design optimization: Hooke Jeeves method versus Genetic Algorithms. In proceedings of 12th International Conference on Optimization of Electrical and Electronic Equipment, OPTIM, May 20-22, pp. 485-492, Basova.
  11. Panigrahi, B.K., Ravikumar Pandi, V. 2008. Bacterial foraging optimisation: Nelder–Mead hybrid algorithm for economic load dispatch. IET Gen. Trans. Distrib. vol. 2, no. 4, pp. 556-565.
  12. Tripathy, M. and Mishra, S. 2007. Bacterial foraging based solution to optimize both real power loss and voltage stability limit. IEEE Trans. Power Syst., vol. 22, no.1, pp. 240-248.
  13. Noriega, G., Restrepo, J., Guzman, V., Gimenez, M., Aller and Simón Bolívar. 2009. On line parameter estimation of electric systems using the bacterial foraging algorithm. In Proceedings of the 13th European Conference on Power Electronics and Applications, pp. 8-10.
  14. Tang, W.J., Wu, Q.H., and Saunders, J.R. 2006. Bacterial foraging algorithm for dynamic environments. IEEE Cong. Evol. Comp., July 16-21, pp. 1324-1330, Canada.
  15. Acharya, D.P., Panda, G., Mishra, S., and Lakshmi, Y.V.S. 2007. Bacteria Foraging Based Independent Component Analysis. In Proceedings on International Conference on Computational Intelligence and Multimedia Applications, Dec 13-15. pp. 527-531. Sivakasi, Tamil Nadu.
  16. Sakthive,l V.P., and Subramanian, S. 2010. Determination of Induction Motor Double Cage – Model Parameters Based on Bacterial Foraging Algorithm. Int. Review Electrical Eng., vol. 5, no. 4, pp. 1529-1537.
  17. Agarwal, R.K. 1997. Principles of Electrical Machine Design. 3rd Ed., S.K. Kataria and Sons, New Delhi.
Index Terms

Computer Science
Information Sciences

Keywords

Transformer design optimization cost efficiency bacterial foraging algorithm

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