Aging evaluation and moisture prediction of oil-immersed cellulose insulation in field transformer using frequency domain spectroscopy and aging kinetics model

Abstract

This work aims to propose an improved model for aging evaluation and moisture prediction of transformer cellulose insulation, which is based on the combination of the advantages of both frequency domain spectroscopy (FDS) and cellulose aging kinetics model. In the present work, the FDS was firstly employed to achieve the prediction of the inside moisture according to its moisture-sensitive property. Then, the predicted moisture is applied to construct the improved aging kinetics model, so that the aging condition of the transformer cellulose insulation can be predicted as well. The presented lab tests, as well as the field tests, have demonstrated the accuracy and feasibility of the proposed model. In that respect, the present contributions attempt to present a novel idea for the aging evaluation and moisture prediction for transformer cellulose insulation.