Abstract
This paper presents a simplified distributed parameter model for minor winding deformation fault analysis of power transformers on the basis of frequency response analysis (FRA). The FRA data of an experimental transformer is employed as a reference trace, which are compared with the simulations of the simplified distributed parameter model concerning minor winding deformation faults. In order to perform quantitative analysis when a deformation fault occurs, three statistical indicators are used to analyze the FRA simulation data. It is suggested in the results that minor winding deformation faults can be detected at the frequency range above 1 MHz.
| Original language | English |
|---|---|
| Title of host publication | IEEE PES General Meeting, PES 2010 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | IEEE PES General Meeting, PES 2010 - Minneapolis, MN, United States Duration: Jul 25 2010 → Jul 29 2010 |
Other
| Other | IEEE PES General Meeting, PES 2010 |
|---|---|
| Country | United States |
| City | Minneapolis, MN |
| Period | 7/25/10 → 7/29/10 |
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Keywords
- Distortion fault
- Frequency response analysis
- Transformer winding
ASJC Scopus subject areas
- Energy Engineering and Power Technology
Cite this
Detection of minor winding deformation fault in high frequency range for power transformer. / Tang, W. H.; Shintemirov, A.; Wu, Q. H.
IEEE PES General Meeting, PES 2010. 2010. 5589573.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detection of minor winding deformation fault in high frequency range for power transformer
AU - Tang, W. H.
AU - Shintemirov, A.
AU - Wu, Q. H.
PY - 2010
Y1 - 2010
N2 - This paper presents a simplified distributed parameter model for minor winding deformation fault analysis of power transformers on the basis of frequency response analysis (FRA). The FRA data of an experimental transformer is employed as a reference trace, which are compared with the simulations of the simplified distributed parameter model concerning minor winding deformation faults. In order to perform quantitative analysis when a deformation fault occurs, three statistical indicators are used to analyze the FRA simulation data. It is suggested in the results that minor winding deformation faults can be detected at the frequency range above 1 MHz.
AB - This paper presents a simplified distributed parameter model for minor winding deformation fault analysis of power transformers on the basis of frequency response analysis (FRA). The FRA data of an experimental transformer is employed as a reference trace, which are compared with the simulations of the simplified distributed parameter model concerning minor winding deformation faults. In order to perform quantitative analysis when a deformation fault occurs, three statistical indicators are used to analyze the FRA simulation data. It is suggested in the results that minor winding deformation faults can be detected at the frequency range above 1 MHz.
KW - Distortion fault
KW - Frequency response analysis
KW - Transformer winding
UR - http://www.scopus.com/inward/record.url?scp=78649567026&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649567026&partnerID=8YFLogxK
U2 - 10.1109/PES.2010.5589573
DO - 10.1109/PES.2010.5589573
M3 - Conference contribution
SN - 9781424483570
BT - IEEE PES General Meeting, PES 2010
ER -