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Power transformer winding fault analysis using transfer function

Access Status
Open access
Authors
Kalpana, Patel
Das, Narottam
Abu Siada, Ahmed
Islam, Syed
Date
2013
Type
Conference Paper

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Citation
Kalpana, Patel and Das, Narottam and Abu Siada, A. and Islam, Syed. 2013. Power transformer winding fault analysis using transfer function, in Negnevitsky, M. (ed), The Australasian Universities Power Engineering Conference, Sep 29-Oct 3 2013. Hobart, Australia: AUPEC.
Source Title
The Australasian Universities Power Engineering Conference
Source Conference
The Australasian Universities Power Engineering Conference
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Abstract

Condition monitoring of power transformers is essential to maintain the reliability of electricity grid. Frequency response analysis (FRA) is a useful tool for the detection of incipient mechanical faults within power transformers. There are various methods of evaluating the frequency spectrum for fault classification and quantification. This paper presents a useful method to detect and to identify various winding faults of a power transformer based on its FRA signature. Simulation results show that location of resonance frequencies which are the key parameters in identifying various winding deformations are uniquely altered due to different faults.