Lifetime Estimation of Operational Aged Transformers with New Fuzzy Logic Algorithms

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Sebastian Schreiter
  • Tobias Kinkeldey
  • Holger Lohmeye
  • Peter Werle
  • Tobias Münster

Externe Organisationen

  • Hochschule für Technik, Wirtschaft und Kultur Leipzig (HTWK)
  • ABB Group
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks22nd International Symposium on High Voltage Engineering (ISH 2021)
Seiten260-263
Seitenumfang4
ISBN (elektronisch)978-1-83953-605-2
PublikationsstatusVeröffentlicht - 2021
Veranstaltung22nd International Symposium on High Voltage Engineering, ISH 2021 - Xi'an, Virtual, China
Dauer: 21 Nov. 202126 Nov. 2021

Abstract

The ongoing aging of transformers in the power supply networks represents an increasing technical and financial risk for operators. Therefore, the knowledge of the aging condition of the asset is of elementary interest in order to be able to plan replacement and exchange measures in a time- and cost-optimized manner. Since the end of life of transformers is determined by the aging of the solid insulation, the DP value is considered to be an indicator of the aging of the entire asset. However, this can only be determined directly by paper sampling with the active part accessible, which limits its practicality. Therefore, in the past, the paper condition was estimated by means of furan derivatives. Another approach is to estimate the DP value using computer-aided methods based on other insulating oil characteristics. In this paper, the results of both estimation methods are compared with the actual DP values of real transformers to investigate the validity of this new approach. Additionally the measured furan concentration will be compared to the measured DP value from more than 50 operationally aged transformers.

ASJC Scopus Sachgebiete

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Lifetime Estimation of Operational Aged Transformers with New Fuzzy Logic Algorithms. / Schreiter, Sebastian; Kinkeldey, Tobias; Lohmeye, Holger et al.
22nd International Symposium on High Voltage Engineering (ISH 2021). 2021. S. 260-263.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Schreiter, S, Kinkeldey, T, Lohmeye, H, Werle, P & Münster, T 2021, Lifetime Estimation of Operational Aged Transformers with New Fuzzy Logic Algorithms. in 22nd International Symposium on High Voltage Engineering (ISH 2021). S. 260-263, 22nd International Symposium on High Voltage Engineering, ISH 2021, Xi'an, Virtual, China, 21 Nov. 2021. https://doi.org/10.1049/icp.2022.0022
Schreiter, S., Kinkeldey, T., Lohmeye, H., Werle, P., & Münster, T. (2021). Lifetime Estimation of Operational Aged Transformers with New Fuzzy Logic Algorithms. In 22nd International Symposium on High Voltage Engineering (ISH 2021) (S. 260-263) https://doi.org/10.1049/icp.2022.0022
Schreiter S, Kinkeldey T, Lohmeye H, Werle P, Münster T. Lifetime Estimation of Operational Aged Transformers with New Fuzzy Logic Algorithms. in 22nd International Symposium on High Voltage Engineering (ISH 2021). 2021. S. 260-263 doi: 10.1049/icp.2022.0022
Schreiter, Sebastian ; Kinkeldey, Tobias ; Lohmeye, Holger et al. / Lifetime Estimation of Operational Aged Transformers with New Fuzzy Logic Algorithms. 22nd International Symposium on High Voltage Engineering (ISH 2021). 2021. S. 260-263
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