Optimization of Core Loss for Power Transformer Using Taguchi Method


  • Geetha A SRM Institute of Science and Technology image/svg+xml
  • Balamurugan K S Karpaga Vinayaga College of Engineering and Technology
  • Geetha P Karpaga Vinayaga College of Engineering and Technology
  • Jemimah Carmicharl M Vignan's Lara Institute of Technology and Science
  • Usha S SRM Institute of Science and Technology image/svg+xml




Electrical Losses, Power transformer, flux density, MINITAB, Maxwell's ANOVA analysis


This article focuses on the optimization of process parameters such as core area, core material and voltage for the design of power transformer. It employs Taguchi orthogonal array technique for designing the experiments and its analysis. Utility transformers are usually specified with the losses associated at design stage. The area of the core cross-section applied voltage, as well as the core material all has impact core loss deterioration. The impact of such variables influencing core loss is investigated by executing the model. A small proportion of core as well as the coil assembly experiments is simulated using the Taguchi approach with the orthogonal array. In this study, the core as well as the coil assembly of an 8MVA, 33/11KV, 3 Phase Transformer is modelled in ANSYS MAXWELL software. MINITAB software is used to assess the program's anticipated core loss in order to discover the optimal arrangement for three control variables.


Download data is not yet available.


McConnell B, W. Increasing distribution transformer efficiency: Potential for energy savings. IEEE Power Eng. Rev.2019; 18 (1) : 8-10.

Del Vecchio R, M, Poulin, B, Feghali, P, T, Shah, D, M, Ahuja, R. Transformer design principles: With applications to core-form power transformers. Energy Convers. Manag. 2017; 24 (2): 18-24. DOI: https://doi.org/10.1201/EBK1439805824

Taguchi, G. Introduction to quality engineering: Int. J. Product. Perform. Manag. 2017; 42(1): 198-205.

Kunal Chakraborty, Shah, D. Comparative study of transformer core material: IJISRT.2018; 55: 33-38.

Kamran Dawood, Mehmet AytacCınar, Bora Alboyacı, OlusSonmez. Efficient Finite Element Models for Calculation of the No-load Losses of the Transformer: Int. j. eng. appl. 2017; 9(3): 11-21. DOI: https://doi.org/10.24107/ijeas.309933

Hatziargyriou, N, D, Georgilakis, P, S, Spiliopoulos, D, S, Bakopoulos, J, A. Quality improvement of individual cores of distribution transformers using decision trees: Int. J. Intell. Syst. 2018; 6(3): 241-246.

Logothetis, N. Establishing a noise performance measure in core loss: Int. J. Intell. Syst. 2019; 6: 141-146.

Orosz, T, Poór, Pánek, P, Karban, P, D. Power transformer design optimization for carbon footprint: Int. j. eng. appl. 2018; 6: 12–15.

Orlova, S, Rassõlkin, A, Kallaste, A, Vaimann, T, Belahcen, A. Lifecycle analysis of different motors from the standpoint of environmental impact: J. Phys. Technol.. 2016; 6(2016): 37–46. DOI: https://doi.org/10.1515/lpts-2016-0042

Orosz, T. Evolution and modern approaches of the power transformer cost optimization methods: Int. J. Electr. Comput. Eng.2018; 63 (1): 37–50. DOI: https://doi.org/10.3311/PPee.13000

Orosz, T, Raisz, P, Tamus, D. Analysis of the green power transition on optimal power transformer designs: Int. J. Electr. Comput. Eng. 2015; 59(3): 125–131. DOI: https://doi.org/10.3311/PPee.8583

Pavlos, S, Georgilakis. Taguchi method for the optimization of transformer cores annealing process: Int. J. Electr. Comput. Eng. 2009; 10(5): 1169 – 1177.

Murta-Pina, J, Pereira, P, Ceballos, J, M, Álvarez, A, Amaro, Pronto, N, Silva, J, Arsénio, P. Validation and application of sand pile modeling of multiseeded HTS bulk superconductors: IEEE Trans. Appl. Supercond. 2015; 25(1): 143-49. DOI: https://doi.org/10.1109/TASC.2014.2366073

Arsénio, P, Silva, T, Vilhena, N, Pina, J, M, Pronto, A. Analysis of characteristic hysteresis loops of magnetic shielding inductive fault current limiters: IEEE Trans. Appl. Supercond. 2015; 23(3): 276-285. DOI: https://doi.org/10.1109/TASC.2012.2235896

Tihanyi, V, Gyore, A, Vajda, I. Multiphysical finite element modeling of inductive type fault current limiters and self limiting transformers: IEEE Trans. Appl. Supercond. 2009; 19(3): 1922–1925. DOI: https://doi.org/10.1109/TASC.2009.2018101

Soldoozy, A, Esmaeli, A, Akbari, H, Mazloom, S, Z. Implementation of tree pruning method for power transformer design optimization: Int. Trans. Electr. 2018; 29(2): 434-467. DOI: https://doi.org/10.1002/etep.2659

Jabr, R, A. Application of Geometric Programming to Transformer Design: IEEE Trans. on Mag. 2005; 41(11): 4261–4269. DOI: https://doi.org/10.1109/TMAG.2005.856921

Baodong, B, Dexin, X, Jiefan, C, Mohammed, O, A. Optimal transposition design of transformer windings by Genetic Algorithms: IEEE Trans. on Mag. 1995; 31: 3572–3574. DOI: https://doi.org/10.1109/20.489573

Yadollahi, M., Lesani, H. Power transformer optimal design (PTOD) using an innovative heuristic method combined with FEM technique: Int. J. Electr. Eng. 2018; 100(4): 823–838. DOI: https://doi.org/10.1007/s00202-017-0537-z

Taguchi, G. Systems of experimental design engineering methods to optimize quality and minimize costs: Int. Review of Electr. Eng. 2021; 7(3): 185-195.




How to Cite

A G, K S B, P G, M JC, S U. Optimization of Core Loss for Power Transformer Using Taguchi Method. EAI Endorsed Trans Energy Web [Internet]. 2024 Feb. 6 [cited 2024 Feb. 22];11. Available from: https://publications.eai.eu/index.php/ew/article/view/5051