Frequency Domain Modeling of High Voltage Transformers Using a Nonlinear Least-Square Estimation Technique


Mohamed, R and Lewin, P L (2009) Frequency Domain Modeling of High Voltage Transformers Using a Nonlinear Least-Square Estimation Technique. In, 16th International Symposium on High Voltage Engineering, Cape Town, South Africa, 24 - 28 Aug 2009. SAIEE, Innes House, Johannesburg, 297-302.

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Description/Abstract

The development of transformer models can be achieved based on experimental frequency response measurements providing access to the windings is available and the physical dimensions are known in order to calculate R, L and C parameter values. Of interest are methods that allow the generation of a suitable model if the R, L and C parameters are unknown and access is restricted to the external terminals of the winding only. Using a lumped parameter model and the measured frequency response across the whole winding, it is possible to estimate the intermediary winding responses. Knowledge of the intermediary winding frequency responses facilitates the development of condition monitoring tools that are capable of locating the source of partial discharge activity or winding deformation within a faulty transformer [1]. This paper includes a full description of the developed modeling technique, along with experimental results from a model winding system that validates the proposed approach.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 24-28 August 2009
ISBNs: 9780620445856
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science
Faculty of Physical and Applied Science > Electronics and Computer Science > EEE
Item ID: 267818
Date Deposited: 02 Sep 2009 13:35
Last Modified: 01 Mar 2012 16:13
Contributors: Mohamed, R (Author)
Lewin, P L (Author)
Date: 24 August 2009
Additional Information: Event Dates: 24-28 August 2009
Status: Published
Publisher: SAIEE, Innes House, Johannesburg
Contact Email Address: pll@ecs.soton.ac.uk
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/267818

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