TY - GEN
T1 - The Influence of External Parameters on Transformer Frequency Response Signature and Numerical Indices
AU - Nurmanova, Venera
AU - Khassenov, Auyez
AU - Bagheri, Mehdi
AU - Phung, Toan
AU - Gharehpetian, Gevork B.
N1 - Funding Information:
This work was supported in part by Faculty Development Competitive Research Grant of Nazarbayev University (Project No. SOE2018018).
Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/6
Y1 - 2019/6
N2 - Frequency Response Analysis (FRA) is considered as a well-established technique to evaluate transformer winding and core structures. This evaluation would be reported in a wide frequency range spectrum. FRA is quite accurate technique; however, it is very sensitive to be affected via the external parameters. In this study, to analyze the external parameters influences on FRA spectrum, different topologies of external lumped parameters, namely series impedance, shunt impedance (ground resistance and capacitance to ground), and parallel to winding impedance are emulated, practically implemented and examined. In order to do that, four statistical indices such as Correlation Coefficient (CC), Euclidean distance, Root Mean Square Error (RMSE) and Absolute Sum of Logarithmic Error (ASLE) are calculated to explore the effect of external resistance and capacitance on Statistical Indicators (SIs). It is revealed that the most significant influence is caused by the impedance parallel to the winding. Moreover, individual analysis of statistical indices assists to identify a healthy region for each transformer unit.
AB - Frequency Response Analysis (FRA) is considered as a well-established technique to evaluate transformer winding and core structures. This evaluation would be reported in a wide frequency range spectrum. FRA is quite accurate technique; however, it is very sensitive to be affected via the external parameters. In this study, to analyze the external parameters influences on FRA spectrum, different topologies of external lumped parameters, namely series impedance, shunt impedance (ground resistance and capacitance to ground), and parallel to winding impedance are emulated, practically implemented and examined. In order to do that, four statistical indices such as Correlation Coefficient (CC), Euclidean distance, Root Mean Square Error (RMSE) and Absolute Sum of Logarithmic Error (ASLE) are calculated to explore the effect of external resistance and capacitance on Statistical Indicators (SIs). It is revealed that the most significant influence is caused by the impedance parallel to the winding. Moreover, individual analysis of statistical indices assists to identify a healthy region for each transformer unit.
KW - frequency response analysis
KW - numerical indices
KW - power transformer testing
KW - sensitivity
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U2 - 10.1109/EEEIC.2019.8783609
DO - 10.1109/EEEIC.2019.8783609
M3 - Conference contribution
AN - SCOPUS:85070820361
T3 - Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
BT - Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
Y2 - 11 June 2019 through 14 June 2019
ER -