Determining the parameters of insulation model by using dielectric response function

The identification of electrical insulation of power grid’s equipment is so important due to increasing the reliability of these networks. To do this, internal insulation of equipment should be accessible. Procedures for conducting such experiments are often costly, time-consuming and impossible. Today using modern methods such as polarization and depolarization current technique (PDC), insulation model can be obtained with an easier way. Insulation’s dissipation factor could be calculated using model parameters and plotted at different frequencies. Insulation condition could be observed partially by comparing the dissipation factor curve with its initial curves.Notably, the interpolation of these curves needs enough sciences and skills. In this paper using the curve fitting, Genetic and PSO algorithm the insulation models parameters have been determined by PDC technique. Depolarization current have been calculated by these models parameters and compared with experimental data to modeling validation. Theninsulation dissipation factor have been plotted using different models data.

Keywords:

insulation model , GA algorithm , PSO algorithm , dissipation factor ,