Field experience of small quasi DC bias on power transformers A first classification of low-frequency current pattern and identification of sources

Dennis Albert, Philipp Schachinger, Herwig Renner, Peter Hamberger, Franz Klammler, Georg Achleitner

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Low frequency currents (LFC) or quasi DC (QDC) in the electrical power transmission network, and especially in power transformers, are causing negative effects such as increase in noise level, in reactive power consumption and in power losses.
Currently no classification of LFC is available to identify possible source. In order to identify the origin of undesired LFC, classifications of LFC in current and audio measurements are defined. They are based on a spectrum analysis of current and audio measurements. These classifications are successfully tested in laboratory and field measurements.
Consequently, LFC sources are identified by field and laboratory measurements and analytical approaches. For power transformer operators a user-friendly and fast method is presented to identify LFC in the transformers. The method is based on audible measurements
Originalspracheenglisch
TitelCigre 2020 Session
PublikationsstatusEingereicht - 2020
VeranstaltungCigre Session 2020 - Paris, Paris, Frankreich
Dauer: 23 Aug 202028 Aug 2020
https://www.cigre.org/GB/events/cigre-session-2020

Konferenz

KonferenzCigre Session 2020
LandFrankreich
OrtParis
Zeitraum23/08/2028/08/20
Internetadresse

ASJC Scopus subject areas

  • !!Energy Engineering and Power Technology

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