Details
| Original language | English |
|---|---|
| Article number | 107781 |
| Journal | International Journal of Electrical Power and Energy Systems |
| Volume | 137 |
| Publication status | Published - May 2022 |
Abstract
Early-stage detection of incipient internal faults like inter-turn fault or winding mechanical fault in a transformer is of great importance to avoid its unplanned outage or expensive consequential failures. Frequency response analysis is widely used for diagnostics of such defects. In this contribution, the sweep reflection coefficient (SRC) has been proposed as a proper frequency response not only for the detection and discrimination of the faults but also for their localization. Therefore, a two-step approach is introduced based on the comparison of the SRCs of the healthy and faulty windings. As the first step, the type of fault is distinguished, and in the second step, an appropriate localization algorithm is employed depending on the type of fault. The ability of this method has been investigated in a model winding as well as a distribution transformer by applying resistive, capacitive, and hybrid turn to ground and inter-turn faults as well as several complex internal faults.
Keywords
- Faults discrimination, Faults localization, Frequency response analysis, Inter-turn faults, Internal faults, Transformers
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
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In: International Journal of Electrical Power and Energy Systems, Vol. 137, 107781, 05.2022.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Sweep reflection coefficient method for localization of internal faults in transformer windings
AU - Seifi, Sahand
AU - Werle, Peter
AU - Shayegani Akmal, Amir Abbas
AU - Mohseni, Hossein
PY - 2022/5
Y1 - 2022/5
N2 - Early-stage detection of incipient internal faults like inter-turn fault or winding mechanical fault in a transformer is of great importance to avoid its unplanned outage or expensive consequential failures. Frequency response analysis is widely used for diagnostics of such defects. In this contribution, the sweep reflection coefficient (SRC) has been proposed as a proper frequency response not only for the detection and discrimination of the faults but also for their localization. Therefore, a two-step approach is introduced based on the comparison of the SRCs of the healthy and faulty windings. As the first step, the type of fault is distinguished, and in the second step, an appropriate localization algorithm is employed depending on the type of fault. The ability of this method has been investigated in a model winding as well as a distribution transformer by applying resistive, capacitive, and hybrid turn to ground and inter-turn faults as well as several complex internal faults.
AB - Early-stage detection of incipient internal faults like inter-turn fault or winding mechanical fault in a transformer is of great importance to avoid its unplanned outage or expensive consequential failures. Frequency response analysis is widely used for diagnostics of such defects. In this contribution, the sweep reflection coefficient (SRC) has been proposed as a proper frequency response not only for the detection and discrimination of the faults but also for their localization. Therefore, a two-step approach is introduced based on the comparison of the SRCs of the healthy and faulty windings. As the first step, the type of fault is distinguished, and in the second step, an appropriate localization algorithm is employed depending on the type of fault. The ability of this method has been investigated in a model winding as well as a distribution transformer by applying resistive, capacitive, and hybrid turn to ground and inter-turn faults as well as several complex internal faults.
KW - Faults discrimination
KW - Faults localization
KW - Frequency response analysis
KW - Inter-turn faults
KW - Internal faults
KW - Transformers
UR - http://www.scopus.com/inward/record.url?scp=85119897426&partnerID=8YFLogxK
U2 - 10.1016/j.ijepes.2021.107781
DO - 10.1016/j.ijepes.2021.107781
M3 - Article
AN - SCOPUS:85119897426
VL - 137
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
SN - 0142-0615
M1 - 107781
ER -