Degradation Assessment of Oil-Impregnated Paper Insulation for Converter Transformer Based on FDS using Digital Image Processing

International Journal of Electrical and Electronics Engineering

© 2023 by SSRG - IJEEE Journal

Volume 10 Issue 8

Year of Publication : 2023

Authors : Shrikant S. Mopari, D. S. More, A. S. Bhalchandra, Pannala Krishna Murthy, K. M. Jadhav

10.14445/23488379/IJEEE-V10I8P102

How to Cite?

Shrikant S. Mopari, D. S. More, A. S. Bhalchandra, Pannala Krishna Murthy, K. M. Jadhav, "Degradation Assessment of Oil-Impregnated Paper Insulation for Converter Transformer Based on FDS using Digital Image Processing," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 8, pp. 9-22, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I8P102

Abstract:

The Oil-Impregnated Paper (OIP) insulation is commonly utilized as the foremost insulation type in the case of a converter transformer, which is constantly and unavoidably affected by elevated temperature and different stresses arising during the mode of operation. It causes a safety risk to the insulation system of the converter transformer. Because of this, the present study examines the effect on OIP insulation using the FDS technique as a function of frequency and elevated temperature. The Frequency Domain Spectroscopy (FDS) and Atomic Force Microscopy (AFM) techniques were carried out for condition evaluation and surface morphological changes of OIP insulation. The experimental results show that elevated temperature viz 30°C, 50°C, 70°C, 90°C, 110°C and 130°C produces irreversible damage to the surface of OIP, which can lead to morphological changes. The frequency-dependent permittivity studies also confirm the deterioration of OIP insulation as permittivity decreases with increased frequency. However, the synergistic effect generated on the OIP insulation can also be analyzed by image processing-based evaluation methods dependent on the average of four local areas of AFM images. One disk of a valve side star winding single phase converter transformer is developed in MATLAB Simulink. An impulse of 20kV, 1.2/50µsec is applied to study the correlation among insulation degradation across the turn by considering elevated temperature and frequency dependence of OIP insulating material by wavelet transform. The energy of the wavelet coefficient is utilized to analyze the insulation degradation of insulation of the converter transformer. Thus the effectiveness of the FDS study revealed the condition monitoring of converter transformer insulation, and the presented results agree with the published work.

Keywords:

Atomic Force Microscopy, Converter transformer, Elevated temperature, Frequency Domain Spectroscopy, Oil Impregnated Paper, Wavelet transform.

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