Back to Search Start Over

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

Authors :
Regelii Suassuna de Andrade Ferreira
Patrick Picher
Fethi Meghnefi
Issouf Fofana
Hassan Ezzaidi
Christophe Volat
Vahid Behjat
Source :
Energies, Vol 16, Iss 11, p 4364 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

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.

Details

Language :
English
ISSN :
19961073
Volume :
16
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Energies
Publication Type :
Academic Journal
Accession number :
edsdoj.99810b57b604421cb92a25a0af4adc9c
Document Type :
article
Full Text :
https://doi.org/10.3390/en16114364