Estimating The Effect of Axial Displacement on Equivalent Circuit Parameters of Transformer Winding Using Finite Element Method

Saji, Parvathy; Muhammed, Ashiq; Vinod, V. S.

doi:10.1109/catcon52335.2021.9670500

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…These models allow the generation of FRA traces at different fault conditions without damage to the physical transformer. The simulations to obtain transformers' frequency response can use the finite element method (FEM) [14,15] and the RLC equivalent circuit method [16][17][18], individually or combined [4], to recreate the traces.…”

Section: Introductionmentioning

confidence: 99%

Reproducing Transformers’ Frequency Response from Finite Element Method (FEM) Simulation and Parameters Optimization

et al. 2023

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Frequency response analysis (FRA) is being employed worldwide as one of the main methods for the internal condition assessment of transformers due to its capability of detecting mechanical changes. Nonetheless, the objective interpretation of FRA measurements is still a challenge for the industry. This is mainly attributable to the lack of complete data from the same or similar units. A large database of FRA measurements can contribute to improving classification algorithms and lead to a more objective interpretation. Due to their destructive nature, mechanical deformations cannot be performed on real transformers to collect data from different scenarios. The use of simulation and laboratory transformer models is necessary. This research contribution is based on a new method using Finite Element Method simulation and a lumped element circuit to obtain FRA traces from a laboratory model at healthy and faulty states, along with an optimization method to improve capacitive parameters from estimated values. The results show that measured and simulated FRA traces are in good agreement. Furthermore, the faulty FRA traces were analyzed to obtain the characterization of faults based on the variation of the lumped element’s parameters. This supports the use of the proposed method in the generation of faulty frequency response traces and its further use in classifying and localizing faults in the transformer windings. The proposed approach is therefore tailored for generating a larger and unique database of FRA traces with industrial importance and academic significance.

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