Propagation Characteristics of Partial Discharges in an Oil-Filled Power Transformer - Publikacja - MOST Wiedzy

Wyszukiwarka

Propagation Characteristics of Partial Discharges in an Oil-Filled Power Transformer

Abstrakt

Power transformers are among the most important assets in the power transmission and distribution grid. However, they suffer from degradation and possible faults causing major electrical and financial losses. Partial discharges (PDs) are used to identify the insulation health status and their degradation level. PDs are incipient, low-magnitude faults caused by localized dielectric breakdown. Those activities emit signals in many forms, including electrical, chemical, acoustic, electromagnetic, and optical, facilitating various detection methods. This paper provides a theoretical basis for the condition evaluation of an oil-filled power transformer and clarifies the relationship between the operating voltage, void location, and electric-field intensity within the void. This was achieved by investigating the propagation characteristics of partial discharge signals in an oil-filled power transformer using a 3D finite element method (FEM) based simulation. Moreover, the characterization of simulated PD sources at different positions is investigated in this paper. The simulation results are curried out to show that air voids near the windings are subject to greatest peak electric field intensity.

Cytowania

  • 2

    CrossRef

  • 0

    Web of Science

  • 2

    Scopus

Autorzy (5)

Cytuj jako

Pełna treść

pełna treść publikacji nie jest dostępna w portalu

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Język:
angielski
Rok wydania:
2023
Opis bibliograficzny:
Kameli S. M., Refaat S. S., Ghrayeb A., Abu-Rub H., Guziński J.: Propagation Characteristics of Partial Discharges in an Oil-Filled Power Transformer// / : , 2023,
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/cpe-powereng58103.2023.10227470
Źródła finansowania:
  • Badania zlecone w projekcie katarskim NPRP13S-0116-200085 "Smart asset management system with health degradation identification and remaining useful lifetime estimation in electrical distribution system”
Weryfikacja:
Politechnika Gdańska

wyświetlono 48 razy

Publikacje, które mogą cię zainteresować

Meta Tagi