PROJECT TITLE :

Improved power transformer winding fault detection using FRA diagnostics ??? part 1: axial displacement simulation

ABSTRACT:

Frequency response analysis (FRA) has become a widely accepted tool to detect power transformer winding deformation thanks to the event of FRA test equipment. As a result of FRA relies on graphical analysis, interpretation of its signature is a terribly specialized area that necessitate skilled personnel, as therefore far, there is no reliable normal code for FRA signature identification and quantification. Several researchers investigated the impact of various mechanical winding deformations on the transformer FRA signature using simulation analysis by altering explicit electrical parameters of the transformer equivalent electrical circuit. None of them but, investigated the impact of varied physical fault levels on the corresponding amendment in the equivalent circuit parameters. During this paper, the physical geometrical dimension of a single-part transformer is simulated using 3D finite element analysis to emulate the real transformer operation. A physical axial displacement of various fault levels is simulated in each low voltage and high voltage windings. The impact of each fault level on the electrical parameters of the equivalent circuit is investigated. A key contribution of this paper is the charts it introduces to correlate numerous axial displacement levels with the percentage modification of all transformer equivalent circuit parameters thanks to the axial displacement fault. In contrary with alternative researchers who only considered mutual inductance between low voltage and high voltage windings, simulation results shown during this paper reveal that alternative circuit parameters ought to be modified by a explicit percentage to accurately simulate specific fault level of transformer winding axial displacement. Results of this paper aid to exactly simulating winding axial displacement using transformer equivalent circuit that facilitates correct qualitative and quantitative analysis of transformer FRA signatures.


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