Design of Single Phase Transformer Through Different Optimization Techniques

Raju Basak; Hamed Yahoui; Nicolas Siauve

doi:doi:10.11648/j.ijics.20170203.11

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Design of Single Phase Transformer Through Different Optimization Techniques

Raju Basak, Hamed Yahoui, Nicolas Siauve

Published in International Journal of Information and Communication Sciences (Volume 2, Issue 3)

Received: 2 May 2017 Accepted: 22 May 2017 Published: 16 June 2017

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Abstract

Selection of an optimization scheme for a particular problem is a complicated issue of whole research community. An Attempt is made for developing an algorithm for finding the optimal design parameters of a low cost small transformer with their own limitations. Most of the engineering optimization problems involve nonlinear objective functions that subject to many constraints. Sometimes it is very difficult to solve such problems by conventional optimization techniques and in some cases it may fail to give the global optima and could be trapped in the local minima. Comparatively the non-classical optimization schemes like Simulated Annealing (SA), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) etc. are established as a handier tool for Global Search. In this paper an attempt has been made to find an algorithm to obtain the optimal design parameters for designing a minimal cost of material for a 5KVA, 230/115 volt, single phase, core type, and dry transformer using Simulated Annealing (SA) and validating the results with another acceptable method, called Pattern Search (PA). The aim of the paper is to establish an effective and efficient method, which gives more acceptable and improved solution for Global optima, with less no. of iterations and computation time.

Published in	International Journal of Information and Communication Sciences (Volume 2, Issue 3)
DOI	10.11648/j.ijics.20170203.11
Page(s)	30-34
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Optimal Design, Simulated Annealing, Pattern Search, Constraints, Objective Function

References

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[2]	O. W. Anderson, “Optimum design of electrical machines”, IEEE Trans., Vol.PAS-86, pp. 707-11, 1967.
[3]	A. Khatri, O. P. Rahi, “Optimal design of transformer: a compressive bibliographical survey”, International Journal of Scientific Engineering and Technology, Vol. No.1, No.2, pp.159- 167, 2012.
[4]	D. Mack worth, A. Poole, R. Goebel 1998, “Computational intelligence”, Oxford University Press, ISBN-0-19-510270-3.
[5]	J. C. Olivares-Galvan, “Selection of copper against aluminium windings for distribution transformers,” IET Electrical Power Application, Vol. 4, no. 6, pp. 474-485, 2010.
[6]	Transmission Line Data, Eastern region, West Bengal State Electricity-Transmission Co. Ltd., India, November 20-December 19, 2011.
[7]	Chakraborty, and S. Halder, “Power System Analysis, Operation and Control,” New Delhi: PHI; 2010.
[8]	M. Ramamoorty, ‘Computer-aided design of electrical equipment’, Affiliated East-West Press Pvt. Ltd. New Delhi, 1987.
[9]	W. T. Jewell “Transformer design in the undergraduate power engineering laboratory”, IEEE Transactions on Power Systems, 1990, 5 (2), pp. 499-505.
[10]	E. Rich, K. Knight 2004, “Artificial intelligence”, TMH, ISBN 0-07- 460081-8.
[11]	A. K. Sawhney, “A course in electrical machine design”, Dhanpat Rai & Sons, New Delhi, 2003.
[12]	M. G. Say, “Performance and design of A. C. Machines”, ELBS.
[13]	A. Shanmugasundara, G. Gangadharan, R. Palani, “Electrical machine design data book”, Wiley Eastern Ltd.1979.
[14]	A. E. Dymkov, “Transformer design, MIR publications”, 1975.
[15]	H. M. Rai, “Principles of electrical machine design”, Satya Prakashan, New Delhi, 1985.
[16]	S. S. Rao, “Engineering Optimization–Theory and Practice, Third Edition”, New Age International (P) Ltd., 1996.
[17]	K. Deb, “Optimization for engineering design”, PHI, 2010.
[18]	N. S. Kambo, “Mathematical programming techniques”, Affiliated East-West Press Pvt. Ltd. New Delhi–110 001, revised edition, 1991, 1984.

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APA Style

Raju Basak, Hamed Yahoui, Nicolas Siauve. (2017). Design of Single Phase Transformer Through Different Optimization Techniques. International Journal of Information and Communication Sciences, 2(3), 30-34. https://doi.org/10.11648/j.ijics.20170203.11

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ACS Style

Raju Basak; Hamed Yahoui; Nicolas Siauve. Design of Single Phase Transformer Through Different Optimization Techniques. Int. J. Inf. Commun. Sci. 2017, 2(3), 30-34. doi: 10.11648/j.ijics.20170203.11

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AMA Style

Raju Basak, Hamed Yahoui, Nicolas Siauve. Design of Single Phase Transformer Through Different Optimization Techniques. Int J Inf Commun Sci. 2017;2(3):30-34. doi: 10.11648/j.ijics.20170203.11

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@article{10.11648/j.ijics.20170203.11,
  author = {Raju Basak and Hamed Yahoui and Nicolas Siauve},
  title = {Design of Single Phase Transformer Through Different Optimization Techniques},
  journal = {International Journal of Information and Communication Sciences},
  volume = {2},
  number = {3},
  pages = {30-34},
  doi = {10.11648/j.ijics.20170203.11},
  url = {https://doi.org/10.11648/j.ijics.20170203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijics.20170203.11},
  abstract = {Selection of an optimization scheme for a particular problem is a complicated issue of whole research community. An Attempt is made for developing an algorithm for finding the optimal design parameters of a low cost small transformer with their own limitations. Most of the engineering optimization problems involve nonlinear objective functions that subject to many constraints. Sometimes it is very difficult to solve such problems by conventional optimization techniques and in some cases it may fail to give the global optima and could be trapped in the local minima. Comparatively the non-classical optimization schemes like Simulated Annealing (SA), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) etc. are established as a handier tool for Global Search. In this paper an attempt has been made to find an algorithm to obtain the optimal design parameters for designing a minimal cost of material for a 5KVA, 230/115 volt, single phase, core type, and dry transformer using Simulated Annealing (SA) and validating the results with another acceptable method, called Pattern Search (PA). The aim of the paper is to establish an effective and efficient method, which gives more acceptable and improved solution for Global optima, with less no. of iterations and computation time.},
 year = {2017}
}

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TY  - JOUR
T1  - Design of Single Phase Transformer Through Different Optimization Techniques
AU  - Raju Basak
AU  - Hamed Yahoui
AU  - Nicolas Siauve
Y1  - 2017/06/16
PY  - 2017
N1  - https://doi.org/10.11648/j.ijics.20170203.11
DO  - 10.11648/j.ijics.20170203.11
T2  - International Journal of Information and Communication Sciences
JF  - International Journal of Information and Communication Sciences
JO  - International Journal of Information and Communication Sciences
SP  - 30
EP  - 34
PB  - Science Publishing Group
SN  - 2575-1719
UR  - https://doi.org/10.11648/j.ijics.20170203.11
AB  - Selection of an optimization scheme for a particular problem is a complicated issue of whole research community. An Attempt is made for developing an algorithm for finding the optimal design parameters of a low cost small transformer with their own limitations. Most of the engineering optimization problems involve nonlinear objective functions that subject to many constraints. Sometimes it is very difficult to solve such problems by conventional optimization techniques and in some cases it may fail to give the global optima and could be trapped in the local minima. Comparatively the non-classical optimization schemes like Simulated Annealing (SA), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) etc. are established as a handier tool for Global Search. In this paper an attempt has been made to find an algorithm to obtain the optimal design parameters for designing a minimal cost of material for a 5KVA, 230/115 volt, single phase, core type, and dry transformer using Simulated Annealing (SA) and validating the results with another acceptable method, called Pattern Search (PA). The aim of the paper is to establish an effective and efficient method, which gives more acceptable and improved solution for Global optima, with less no. of iterations and computation time.
VL  - 2
IS  - 3
ER  -

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Author Information

Raju Basak

GEP Department, University Claude Bernard Lyon1, Lyon, France
Hamed Yahoui

Ampere Laboratory, University Claude Bernard Lyon1, Lyon, France
Nicolas Siauve

Ampere Laboratory, University Claude Bernard Lyon1, Lyon, France

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Plain Text BibTeX RIS

APA Style

Raju Basak, Hamed Yahoui, Nicolas Siauve. (2017). Design of Single Phase Transformer Through Different Optimization Techniques. International Journal of Information and Communication Sciences, 2(3), 30-34. https://doi.org/10.11648/j.ijics.20170203.11

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ACS Style

Raju Basak; Hamed Yahoui; Nicolas Siauve. Design of Single Phase Transformer Through Different Optimization Techniques. Int. J. Inf. Commun. Sci. 2017, 2(3), 30-34. doi: 10.11648/j.ijics.20170203.11

Copy | Download

AMA Style

Raju Basak, Hamed Yahoui, Nicolas Siauve. Design of Single Phase Transformer Through Different Optimization Techniques. Int J Inf Commun Sci. 2017;2(3):30-34. doi: 10.11648/j.ijics.20170203.11

Copy | Download

@article{10.11648/j.ijics.20170203.11,
  author = {Raju Basak and Hamed Yahoui and Nicolas Siauve},
  title = {Design of Single Phase Transformer Through Different Optimization Techniques},
  journal = {International Journal of Information and Communication Sciences},
  volume = {2},
  number = {3},
  pages = {30-34},
  doi = {10.11648/j.ijics.20170203.11},
  url = {https://doi.org/10.11648/j.ijics.20170203.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijics.20170203.11},
  abstract = {Selection of an optimization scheme for a particular problem is a complicated issue of whole research community. An Attempt is made for developing an algorithm for finding the optimal design parameters of a low cost small transformer with their own limitations. Most of the engineering optimization problems involve nonlinear objective functions that subject to many constraints. Sometimes it is very difficult to solve such problems by conventional optimization techniques and in some cases it may fail to give the global optima and could be trapped in the local minima. Comparatively the non-classical optimization schemes like Simulated Annealing (SA), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) etc. are established as a handier tool for Global Search. In this paper an attempt has been made to find an algorithm to obtain the optimal design parameters for designing a minimal cost of material for a 5KVA, 230/115 volt, single phase, core type, and dry transformer using Simulated Annealing (SA) and validating the results with another acceptable method, called Pattern Search (PA). The aim of the paper is to establish an effective and efficient method, which gives more acceptable and improved solution for Global optima, with less no. of iterations and computation time.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Design of Single Phase Transformer Through Different Optimization Techniques
AU  - Raju Basak
AU  - Hamed Yahoui
AU  - Nicolas Siauve
Y1  - 2017/06/16
PY  - 2017
N1  - https://doi.org/10.11648/j.ijics.20170203.11
DO  - 10.11648/j.ijics.20170203.11
T2  - International Journal of Information and Communication Sciences
JF  - International Journal of Information and Communication Sciences
JO  - International Journal of Information and Communication Sciences
SP  - 30
EP  - 34
PB  - Science Publishing Group
SN  - 2575-1719
UR  - https://doi.org/10.11648/j.ijics.20170203.11
AB  - Selection of an optimization scheme for a particular problem is a complicated issue of whole research community. An Attempt is made for developing an algorithm for finding the optimal design parameters of a low cost small transformer with their own limitations. Most of the engineering optimization problems involve nonlinear objective functions that subject to many constraints. Sometimes it is very difficult to solve such problems by conventional optimization techniques and in some cases it may fail to give the global optima and could be trapped in the local minima. Comparatively the non-classical optimization schemes like Simulated Annealing (SA), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) etc. are established as a handier tool for Global Search. In this paper an attempt has been made to find an algorithm to obtain the optimal design parameters for designing a minimal cost of material for a 5KVA, 230/115 volt, single phase, core type, and dry transformer using Simulated Annealing (SA) and validating the results with another acceptable method, called Pattern Search (PA). The aim of the paper is to establish an effective and efficient method, which gives more acceptable and improved solution for Global optima, with less no. of iterations and computation time.
VL  - 2
IS  - 3
ER  -

Copy | Download