Multiple Linear Regression Models for Partial Discharge Location Along Transformer Windings

The identification of current pulses related to Partial Discharges (PDs) has enabled the early detection and location of the solid insulation deteriorated regions in power transformers. Even though several techniques for PDs location have been proposed in recent years, limitations can still be noted, such as the inability to specify the discharge location in narrower regions and unproved applicability in windings of different configurations. In view of these, in this work, a PD location method is analysed, based on multiple linear regression models developed in conjunction with stepwise variable selection and analysis of variance methods. The technique is applied from PDs simulation data, obtained through accurate transformer high frequency modelling, using statistical and principal components features of the terminal windings current signals. The results show that the PDs can be effectively located, with high accuracy and success rate, for both layer-type and disk-type windings of transformers.