Using Particle Swarm Optimization Algorithm for Transformer Transient Study

The R-C-L-M model of power transformer is able to simulate the high frequency behavior of the magnetic and electric filed inside transformer. This model is used not only in design step for studying transient phenomena but also during operation for detecting mechanical faults. The model is obtained from geometrical structure and the material properties of the transformer. While the precision of the model depends strongly on the precision of its parameters, the accuracy of these parameters calculated by analytical formulas is limited due to different reasons. In this paper a particle swarm optimization (PSO) algorithm is introduced as a method to identify the parameters of the R-C-L-M Model, which are more precise than the parameters achieved by common formulae. Copyright (C) 2011 Praise Worthy Prize S.r.L - All rights reserved.