Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2019 IEEE Electrical Insulation Conference, EIC 2019 |
| Untertitel | Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 58-62 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 978-1-5386-7624-0 |
| ISBN (Print) | 978-1-5386-7625-7 |
| Publikationsstatus | Veröffentlicht - Juni 2019 |
| Veranstaltung | 2019 IEEE Electrical Insulation Conference, EIC 2019 - Calgary, Kanada Dauer: 16 Juni 2019 → 19 Juni 2019 |
Publikationsreihe
| Name | Electrical Insulation Conference and Electrical Manufacturing Expo |
|---|---|
| ISSN (Print) | 2334-0975 |
| ISSN (elektronisch) | 2576-6791 |
Abstract
Reliable operation of power systems depends highly on the condition of power transformers, hence making their condition monitoring top priority. Partial discharge (PD) is among the most common and deteriorative faults in a power transformer. PDs cause progressive degradation of the insulation system of transformers, and may lead to catastrophic failures, if no countermeasure is taken. The ultrahigh frequency (UHF) measurement technique is capable of detecting and localizing PDs inside a power transformer. In this method, electromagnetic waves emitted from the PD fault are captured by UHF probes. From the difference in arrival times of the signals, captured by the probes, the location of the PD fault can be obtained. To date, several researches have attempted to introduce a method for arrival time detection. However, these methods are not capable of providing an acceptable location for the PD inside the transformer tank for each set of the received signals. This reduction in the provided PD locations by the signal sets is exacerbated when the electromagnetic waves encounter more barriers in their path to the UHF probes. This contribution is aimed at optimizing the number of selected signal sets that yield an acceptable location for the PD, in order to improve the localization accuracy. The PD signals are denoised using wavelet filtering, and the arrival time detection method is then applied to the denoised signals. The obtained PD locations are subsequently assessed to estimate the PD fault position with the highest possible accuracy. This research is accompanied by experimental measurements to acquire the location of a PD source inside a specially designed transformer tank and evaluate the proposed algorithm. A novel approach regarding the optimal selection of the captured signal sets is presented and the results are compared.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Werkstoffwissenschaften (insg.)
- Keramische und Verbundwerkstoffe
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Werkstoffwissenschaften (insg.)
- Polymere und Kunststoffe
- Werkstoffwissenschaften (insg.)
- Oberflächen, Beschichtungen und Folien
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- BibTex
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2019 IEEE Electrical Insulation Conference, EIC 2019: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. S. 58-62 9046629 (Electrical Insulation Conference and Electrical Manufacturing Expo).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Enhancing the Accuracy of Partial Discharge Localization in Power Transformers Using the UHF Measurement Technique
AU - Azirani, Mohammad Akbari
AU - Ariannik, Mohamadreza
AU - Werle, Peter
AU - Akbari, Asghar
PY - 2019/6
Y1 - 2019/6
N2 - Reliable operation of power systems depends highly on the condition of power transformers, hence making their condition monitoring top priority. Partial discharge (PD) is among the most common and deteriorative faults in a power transformer. PDs cause progressive degradation of the insulation system of transformers, and may lead to catastrophic failures, if no countermeasure is taken. The ultrahigh frequency (UHF) measurement technique is capable of detecting and localizing PDs inside a power transformer. In this method, electromagnetic waves emitted from the PD fault are captured by UHF probes. From the difference in arrival times of the signals, captured by the probes, the location of the PD fault can be obtained. To date, several researches have attempted to introduce a method for arrival time detection. However, these methods are not capable of providing an acceptable location for the PD inside the transformer tank for each set of the received signals. This reduction in the provided PD locations by the signal sets is exacerbated when the electromagnetic waves encounter more barriers in their path to the UHF probes. This contribution is aimed at optimizing the number of selected signal sets that yield an acceptable location for the PD, in order to improve the localization accuracy. The PD signals are denoised using wavelet filtering, and the arrival time detection method is then applied to the denoised signals. The obtained PD locations are subsequently assessed to estimate the PD fault position with the highest possible accuracy. This research is accompanied by experimental measurements to acquire the location of a PD source inside a specially designed transformer tank and evaluate the proposed algorithm. A novel approach regarding the optimal selection of the captured signal sets is presented and the results are compared.
AB - Reliable operation of power systems depends highly on the condition of power transformers, hence making their condition monitoring top priority. Partial discharge (PD) is among the most common and deteriorative faults in a power transformer. PDs cause progressive degradation of the insulation system of transformers, and may lead to catastrophic failures, if no countermeasure is taken. The ultrahigh frequency (UHF) measurement technique is capable of detecting and localizing PDs inside a power transformer. In this method, electromagnetic waves emitted from the PD fault are captured by UHF probes. From the difference in arrival times of the signals, captured by the probes, the location of the PD fault can be obtained. To date, several researches have attempted to introduce a method for arrival time detection. However, these methods are not capable of providing an acceptable location for the PD inside the transformer tank for each set of the received signals. This reduction in the provided PD locations by the signal sets is exacerbated when the electromagnetic waves encounter more barriers in their path to the UHF probes. This contribution is aimed at optimizing the number of selected signal sets that yield an acceptable location for the PD, in order to improve the localization accuracy. The PD signals are denoised using wavelet filtering, and the arrival time detection method is then applied to the denoised signals. The obtained PD locations are subsequently assessed to estimate the PD fault position with the highest possible accuracy. This research is accompanied by experimental measurements to acquire the location of a PD source inside a specially designed transformer tank and evaluate the proposed algorithm. A novel approach regarding the optimal selection of the captured signal sets is presented and the results are compared.
KW - Nonconventional Measurement
KW - PD
KW - PD Localization
KW - Power Transformers
KW - UHF Measurement Technique
UR - http://www.scopus.com/inward/record.url?scp=85083485884&partnerID=8YFLogxK
U2 - 10.1109/EIC43217.2019.9046629
DO - 10.1109/EIC43217.2019.9046629
M3 - Conference contribution
AN - SCOPUS:85083485884
SN - 978-1-5386-7625-7
T3 - Electrical Insulation Conference and Electrical Manufacturing Expo
SP - 58
EP - 62
BT - 2019 IEEE Electrical Insulation Conference, EIC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Electrical Insulation Conference, EIC 2019
Y2 - 16 June 2019 through 19 June 2019
ER -