Performance Analysis and Design optimization of Distribution Transformer by using Genetic Algorithm
Keywords:
MATLAB, Genetic Algorithm, Optimization, Total Losses, Active part cost, Efficiency, Percentage impedance, Tank volumeAbstract
Transformers are vital components of power system and its design requires reliable and rigorous
solution methods. Optimal transformer design involves determination of design variables to optimize a particular
objective, satisfying a set of constraints. The aim of transformer design is to obtain the dimensions of all parts of
transformer in order to supply these data to the manufacturer. The transformer should be designed in a manner
such that it is economically acceptable, has low cost, small size, good performance and at the same time it should
satisfy all the constraints imposed by international standards. In this paper, Genetic Algorithm is used for
minimization of the following four objective functions: Total active parts cost, Total losses, Percentage impedance
and Transformer tank volume. A design example on a 100 KVA, three phase core type Distribution transformer is
discussed further in this paper.
