Published Resources Details
Journal Article
- Title
- Finite element performance evaluation of online transformer internal fault detection based on instantaneous voltage and current measurements
- In
- Australian Journal of Electrical and Electronics Engineering
- Imprint
- vol. 11, no. 4, 2014, pp. 391-399
- Url
- https://search.informit.org/doi/10.3316/informit.813115415905536
- Description
Paper E13-190 submitted 2/09/2013; accepted for publication after review and revision 22/10/2013.
The authors were all of the Department of Electrical and Computer Engineering, Curtin University, Perth, Western Australia.
[This paper was awarded the John Madsen Medal 2014]
- Abstract
This paper investigates the performance of a recently proposed online transformer internal fault detection technique through detailed non-linear three-dimensional finite element modelling of the windings, magnetic core and transformer tank. The online technique considers correlation of transformer instantaneous input and output voltage difference and input current at the power frequency and uses the ellipse shape DeltaV-I locus as the finger print of the transformer that could be measured every cycle to identify any incipient faults. The technique is simple, fast and suitable for online monitoring of in-service transformers. A detailed three-dimensional finite element model of single-phase transformer is developed and various physical winding deformations with different fault levels are simulated to assess their impacts on the online DeltaV-I locus. As transformer field testing under various internal fault conditions cannot be easily conducted, the main contributions of this paper are accurate finite element based implementation, testing and performance evaluation of the online fault detection approach. Furthermore, the impact of winding short circuit fault on the DeltaV-I locus has been also measured and validated.