Analysis of Transformer Oil-Paper Insulation State Using Fractional Poynting-Thomson Model

This article is aimed at quantifying the health condition of the power transformer insulation system through its frequency-domain dielectric characteristic by using the concept of the resistor and fractional calculus. In this regard, the dielectric model of the fractional Poynting-Thomson (PT) is proposed, and a mathematical model for parameter identification of the proposed model is presented. The shuffled frog leaping algorithm (SFLA) is used to realize the parameter identification and the fractional PT model parameters of the oil-paper samples under different insulation health conditions. The influence of moisture and aging on the fractional PT dielectric model parameters is experimentally studied. Results show that, with the increase in the water content within the insulation system, the parameters of the fractional PT model gradually decrease, and there is a strong correlation between the relaxation time and the water content. This facilitates the employment of the fractional PT model parameters to quantify the aging and moisture content of the power transformer insulation system.

Automated summary

This article proposes a method for quantifying the health condition of power transformer insulation system using the concept of resistor and fractional calculus. The dielectric model and parameter identification method are presented. The influence of moisture and aging on the dielectric model parameters is studied, showing a strong correlation between relaxation time and water content.