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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.
Highlights
Dry type transformers have recently become much popular [1]
In the earlier days these were used for small rating power transformers only
The paper has dealt with design optimization of a single phase dry type power transformer
Summary
Dry type transformers have recently become much popular [1]. In the earlier days these were used for small rating power transformers only. The presence of oil is always associated with some amount of leakage which makes the near-by places dirty For all these reasons, dry transformers are getting preference over the oil-filled type [2]-[4]. 2. Cost Optimality and Quality Design As dry transformers are gradually replacing their oil-filled counterparts, their costoptimal design is of great importance in the present context. For reaching optimal solution recourse must be made to a digital computer as it can perform calculations at an extremely high rate and it has got large amount of memory. We are to search for optimality (maximality or minimality as the case may be) using an appropriate mathematical technique It is explained the results of research and at the same time is given the comprehensive discussion. There are powerful methods for design optimization using soft-computing techniques [15],[16] e.g., genetic algorithm, simulated annealing etc
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