- Title
- Optimizing basis function pole locations for transformer frequency response identification
- Creator
- Wolinski, Samuel; Welsh, James S.; Tusek, Joe
- Relation
- Australasian Universities Power Engineering Conference (AUPEC 2013). Proceedings of the Australasian Universities Power Engineering Conference (Hobart, Tas. 29 September - 3 October, 2013)
- Publisher Link
- http://dx.doi.org/10.1109/AUPEC.2013.6725408
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2013
- Description
- In this paper a technique for obtaining accurate parametric models of wideband frequency domain systems is applied to modeling the frequency response of power transformers. Obtaining accurate frequency response models is a problem for conventional identification techniques, and typically results in ill-conditioning due to the frequency range and numerous resonant modes of the transformer. 'Frequency Localising Basis Functions' improve the conditioning of the estimator, and hence provide a more accurate fit. The location of these functions are optimized using Particle Swarm Optimization, and applied to frequency response data taken from a power transformer. A case study is undertaken on a 132kV, 60MVA power transformer.
- Subject
- power transformers; frequency response; parametric statistics; educational institutions; Australia; particle swarm optimization; phase measurement
- Identifier
- http://hdl.handle.net/1959.13/1342015
- Identifier
- uon:28869
- Identifier
- ISBN:9781479938759
- Language
- eng
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