MODELLING FOR INSULATION BREAKDOWN STUDIES

Abstract

Insulation is a very important factor for the design purpose of any power system network. Without a suitable insulation, any power system network will not work properly. For the designing purposes, its very necessary to know the insulation level required for a particular component. So here, we will try to develop a model for the prediction of breakdown voltage of air-gap. The breakdown voltage of air gap actually depends on sphere gap diameter, gap width at the instant of breakdown, temperature and atmospheric pressure. The model developed here is a type of regression model. Regression analysis is a statistical process for estimating the relationships among variables. It is used widely for forecasting and predicting the outputs of phenomenon based on their history of performance. In the present paper, we apply Multivariate Linear Regression for estimating the breakdown voltage of air under different air gap separations. The accuracy of the developed regression model is validated as the error involved is shown to be low. The model is useful for carrying out simulated studies relating to breakdown of air without the necessity of laboratory applied experimentation.