Transformer frequency response

A new technique to analyze and distinguish the low-frequency band in the frequency response analysis spectrum

Mehdi Bagheri, Maxim Lu, Mohammad Salay Naderi, B. T. Phung

Research output: Contribution to journalArticle

Abstract

Smart monitoring applications in all aspects of power systems are becoming increasingly popular because of the indirect effect on energy management and the smart grid. In this regard, high voltage equipment monitoring and real-time assessment are critical. Among these evaluations, transformer life and condition assessment has been considered for many years [1], [2]. Currently, advanced methods such as transfer function measurement are employed to determine the transformer condition [3]. Transfer function measurement is generally used for black box system identification [4]. This measurement might be implemented in the time domain as an impulse response or in the frequency domain using a swept signal; the latter approach is commonly called frequency response analysis (FRA) [5].

Original languageEnglish
Article number8445433
Pages (from-to)39-49
Number of pages11
JournalIEEE Electrical Insulation Magazine
Volume34
Issue number5
DOIs
Publication statusPublished - Sep 1 2018

Fingerprint

Spectrum analysis
Frequency bands
Frequency response
Transfer functions
Monitoring
Energy management
Impulse response
Identification (control systems)
Electric potential

Keywords

  • frequency response analysis
  • low-frequency of FRA response
  • transformer core effect
  • winding deformation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

Transformer frequency response : A new technique to analyze and distinguish the low-frequency band in the frequency response analysis spectrum. / Bagheri, Mehdi; Lu, Maxim; Naderi, Mohammad Salay; Phung, B. T.

In: IEEE Electrical Insulation Magazine, Vol. 34, No. 5, 8445433, 01.09.2018, p. 39-49.

Research output: Contribution to journalArticle

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