Identification of transient model parameters of transformer using genetic algorithm

In this paper, a black box model has been proposed in order to analyze transformer transient behaviors. This model is capable to reveal the transformer impedance (or admittance) characteristics up to 1.2 MHz observed from transformer terminals under various connections. Also, this model is powerful to display the characteristic of traveling wave toward consumer. In this contribution, a 6300/420V, 2500KVA transformer is used to investigate. The parameters of represented model have been computed by use of the practical measurements and also genetic algorithm method. Comparisons between the calculated and the measured results are satisfactory and confirm the good precision of the represented method in order to estimate model parameters.