Power transformer equivalent circuit identification by artificial neural network using frequency response analysis

This paper presents a methodology to estimate the parameters of a transformer model that simulates its operation over a wide frequency range. An artificial neural networks (ANN) is used to estimate the transfer function of the transformer winding from data obtained from frequency response measurements