Details
| Original language | English |
|---|---|
| Pages (from-to) | 78-90 |
| Number of pages | 13 |
| Journal | International Journal of Electrical Power and Energy Systems |
| Volume | 42 |
| Issue number | 1 |
| Publication status | Published - Nov 2012 |
Abstract
This contribution is aimed at obtaining diagnosis criteria for detection of low-level short circuit faults throughout sweep frequency response analysis (SFRA) measurements on the transformer windings. Significant advantages would accrue by early detection of low level short circuit faults within the transformer, since if not quickly detected, they usually develop into more serious faults which result in irreversible damage to the transformer and the electrical network, unexpected outages and the consequential costs. A Finite Element Model (FEM) of the tested transformer has been developed to assist in justifying the modifications of the winding frequency response as a result of fault occurrence. Successful operation of the SFRA method in precisely detecting interturn faults along the transformer windings, even down to a few shorted turns on the winding, is proved through a large number of experiments and measurements. Improving the interpretation of the SFRA measurements needs complementary statistical indicators. The usage of correlation coefficient and spectrum deviation for comparison of the frequency responses obtained through SFRA measurements provides quantitative indicators of the fault presence on the transformer windings and also the fault severity level in the shorted turns.
Keywords
- Diagnosis, Low-level short circuit fault, Power transformer, SFRA, Transfer function method
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: International Journal of Electrical Power and Energy Systems, Vol. 42, No. 1, 11.2012, p. 78-90.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Sweep frequency response analysis for diagnosis of low level short circuit faults on the windings of power transformers
T2 - An experimental study
AU - Behjat, Vahid
AU - Vahedi, Abolfazl
AU - Setayeshmehr, Alireza
AU - Borsi, H.
AU - Gockenbach, Ernst
N1 - Copyright: Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012/11
Y1 - 2012/11
N2 - This contribution is aimed at obtaining diagnosis criteria for detection of low-level short circuit faults throughout sweep frequency response analysis (SFRA) measurements on the transformer windings. Significant advantages would accrue by early detection of low level short circuit faults within the transformer, since if not quickly detected, they usually develop into more serious faults which result in irreversible damage to the transformer and the electrical network, unexpected outages and the consequential costs. A Finite Element Model (FEM) of the tested transformer has been developed to assist in justifying the modifications of the winding frequency response as a result of fault occurrence. Successful operation of the SFRA method in precisely detecting interturn faults along the transformer windings, even down to a few shorted turns on the winding, is proved through a large number of experiments and measurements. Improving the interpretation of the SFRA measurements needs complementary statistical indicators. The usage of correlation coefficient and spectrum deviation for comparison of the frequency responses obtained through SFRA measurements provides quantitative indicators of the fault presence on the transformer windings and also the fault severity level in the shorted turns.
AB - This contribution is aimed at obtaining diagnosis criteria for detection of low-level short circuit faults throughout sweep frequency response analysis (SFRA) measurements on the transformer windings. Significant advantages would accrue by early detection of low level short circuit faults within the transformer, since if not quickly detected, they usually develop into more serious faults which result in irreversible damage to the transformer and the electrical network, unexpected outages and the consequential costs. A Finite Element Model (FEM) of the tested transformer has been developed to assist in justifying the modifications of the winding frequency response as a result of fault occurrence. Successful operation of the SFRA method in precisely detecting interturn faults along the transformer windings, even down to a few shorted turns on the winding, is proved through a large number of experiments and measurements. Improving the interpretation of the SFRA measurements needs complementary statistical indicators. The usage of correlation coefficient and spectrum deviation for comparison of the frequency responses obtained through SFRA measurements provides quantitative indicators of the fault presence on the transformer windings and also the fault severity level in the shorted turns.
KW - Diagnosis
KW - Low-level short circuit fault
KW - Power transformer
KW - SFRA
KW - Transfer function method
UR - http://www.scopus.com/inward/record.url?scp=84860546707&partnerID=8YFLogxK
U2 - 10.1016/j.ijepes.2012.03.004
DO - 10.1016/j.ijepes.2012.03.004
M3 - Article
AN - SCOPUS:84860546707
VL - 42
SP - 78
EP - 90
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
SN - 0142-0615
IS - 1
ER -