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Operational Modal Analysis of Transformer Windings.

Authors :
Zhang, Fan
Ji, Shengchang
Ma, Hui
Saha, Tapan Kumar
Source :
IEEE Transactions on Power Delivery. Jun2020, Vol. 35 Issue 3, p1285-1298. 14p.
Publication Year :
2020

Abstract

Broadband responses under random excitations can reflect the modal characteristics of a structure. This paper investigates the applicability of operational modal analysis (OMA) to extract modal parameters of transformer windings under random excitations. Firstly, random vibration signals are extracted from measured vibration signals by estimating an accurate power frequency and eliminating vibration harmonics. Then, modal characteristics are obtained by applying OMA to the extracted random vibration signals. The numeric study on a winding axial vibration model demonstrates the effectiveness of the proposed method in obtaining its modal characteristics. Laboratory experiments show that the natural frequencies calculated by OMA are a subset of the actual natural frequencies of windings and the tank. The field test results of a 110 kV power transformer show that the number of natural frequencies increase when winding deformation occurs. OMA of transformer windings may pave a way for online winding condition monitoring. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858977
Volume :
35
Issue :
3
Database :
Academic Search Index
Journal :
IEEE Transactions on Power Delivery
Publication Type :
Academic Journal
Accession number :
143457173
Full Text :
https://doi.org/10.1109/TPWRD.2019.2939388