TY - JOUR
T1 - Transformer frequency response
T2 - A new technique to analyze and distinguish the low-frequency band in the frequency response analysis spectrum
AU - Bagheri, Mehdi
AU - Lu, Maxim
AU - Naderi, Mohammad Salay
AU - Phung, B. T.
N1 - Funding Information:
The authors acknowledge financial support of this study by
Publisher Copyright:
© 2006 IEEE.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - 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].
AB - 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].
KW - frequency response analysis
KW - low-frequency of FRA response
KW - transformer core effect
KW - winding deformation
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U2 - 10.1109/MEI.2018.8445433
DO - 10.1109/MEI.2018.8445433
M3 - Article
AN - SCOPUS:85052728039
SN - 0883-7554
VL - 34
SP - 39
EP - 49
JO - IEEE Electrical Insulation Magazine
JF - IEEE Electrical Insulation Magazine
IS - 5
M1 - 8445433
ER -
