Random Search Technique Applied to Quasi-Optimal Design of a Distribution Transformer

Authors: Raju Basak, Arabinda Das and Amarnath Sanyal

Abstract

Distribution transformers are used to cater power to the consumers Power system components should be designed cost-optimally for better economy. Various techniques are used to reach the optimality condition. The specifications have to be fulfilled, generally in presence of given constraints. The objective functions are framed according to the need of the utilities and the consumers. Constraints are imposed as per directives of electricity regulatory authorities. In this paper a new approach has been made to reach the optimal design for a 3-phase distribution transformer- the random search technique. Random numbers have been generated by randomizing the timer and the values of the key variables have been randomly chosen in the variable space defined by the bounds and widened to cover the global optima. The minimal cost and the corresponding values of the key variables have been trapped by opening a counter and then the design has been made using these values. In this approach, the total no of iterations is much less as well as the level of complexity. The design is very near to optimal or quasi-optimal- it has been established by comparing the results with those obtained by exhaustive search.

 

Index Terms

Distribution transformer, optimal design, design variables, specifications and constraints, random search technique

Download Full Paper

Random Search Technique Applied to Quasi-Optimal Design of a Distribution Transformer