Amarnath Sanyal
Calcutta Institute of Engineering and Management

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Cost Optimal Design of a Single-Phase Dry Power Transformer Raju Basak; Arabinda Das; Amarnath Sanyal
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 3, No 4: December 2015
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v3i4.206

Abstract

The Dry type transformers are preferred to their oil-immersed counterparts for various reasons, particularly because their operation is hazardless. The application of dry transformers was limited to small ratings in the earlier days. But now these are being used for considerably higher ratings.  Therefore, their cost-optimal design has gained importance. This paper deals with the design procedure for achieving cost optimal design of a dry type single-phase power transformer of small rating, subject to usual design constraints on efficiency and voltage regulation. The selling cost for the transformer has been taken as the objective function. Only two key variables have been chosen, the turns/volt and the height: width ratio of window, which affects the cost function to high degrees. Other variables have been chosen on the basis of designers’ experience. Copper has been used as conductor material and CRGOS as core material to achieve higher efficiency, lower running cost and compact design. The electrical and magnetic loadings have been kept at their maximum values without violating the design constraints. The optimal solution has been obtained by the method of exhaustive search using nested loops.
Optimal Design of a 3-Phase Core Type Distribution Transformer Using Modified Hooke and Jeeves Method Raju Basak; Arabinda Das; Amarnath Sanyal
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7114-7122

Abstract

Hooke and Jeeves method is de facto a pattern search technique, which can be employed for getting an optimal solution. In this paper the method, in a modified form, has been applied for the design optimization of a distribution transformer. It is a constrained multi-variable optimization problem. The solution is obtained by choosing an initial point in the world map of the key variables and by making a local search (exploratory in all directions in the hyper surface formed by the variables. After recognizing the pattern, its advantage is taken by moving towards a lower cost point, using an acceleration factor for faster convergence. The step length is adjusted as we proceed to expedite improvement. The method has been applied to two different cost functions: the cost of production and the cost against production plus capitalized running losses. In both the cases, the problem has converged to a solution and the results are both interesting and illuminating.