Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 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 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728106526 |
| DOIs | |
| Publication status | Published - Jun 1 2019 |
| Event | 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 - Genoa, Italy Duration: Jun 11 2019 → Jun 14 2019 |
Publication series
| Name | 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 |
|---|
Conference
| Conference | 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 |
|---|---|
| Country | Italy |
| City | Genoa |
| Period | 6/11/19 → 6/14/19 |
Fingerprint
Keywords
- frequency response analysis
- numerical indices
- power transformer testing
- sensitivity
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Environmental Engineering
- Control and Optimization
Cite this
The Influence of External Parameters on Transformer Frequency Response Signature and Numerical Indices. / Nurmanova, Venera; Khassenov, Auyez; Bagheri, Mehdi; Phung, Toan; Gharehpetian, Gevork B.
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. Institute of Electrical and Electronics Engineers Inc., 2019. 8783609 (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).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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.
PY - 2019/6/1
Y1 - 2019/6/1
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
UR - http://www.scopus.com/inward/record.url?scp=85070820361&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070820361&partnerID=8YFLogxK
U2 - 10.1109/EEEIC.2019.8783609
DO - 10.1109/EEEIC.2019.8783609
M3 - Conference contribution
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.
ER -