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High frequency transformer model derived from limited information about the transformer geometry
- Source :
- International Journal of Electrical Power & Energy Systems. 94:300-310
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- To represent transformer behaviour during a transient state which includes high frequencies, it is necessary to consider the resonances which occur inside the transformer. One strategy is to deduce the transformer model from the measurements of the transformer’s frequency response, another one is to construct the model based on a careful representation of the inside of the apparatus. In the paper a model is presented which is compatible with EMTP-type software programs based on a finite element method (FEM) calculations and the complex permeability approximation. The model can be classified as a Grey Box transformer model, according to the terminology of the CIGRE. The model’s frequency dependent parameters are derived from limited information about the transformer geometry. State space equations are used to input the model into an electromagnetic transient calculation software program. This approach requires specific mathematical treatments to avoid stability issues during simulations. The model is validated for lightning impulse studies using the field test measurements of over-voltages that had occurred at the external transformer’s terminals.
- Subjects :
- 010302 applied physics
Transient state
Engineering
Frequency response
State-space representation
business.industry
020209 energy
Linear variable differential transformer
Energy Engineering and Power Technology
Geometry
02 engineering and technology
01 natural sciences
Finite element method
law.invention
Software
law
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business
Transformer
Rotary variable differential transformer
Grey Box
Complex permeability
Fitting
Passivity enforcement
Transformer modelling
Subjects
Details
- ISSN :
- 01420615
- Volume :
- 94
- Database :
- OpenAIRE
- Journal :
- International Journal of Electrical Power & Energy Systems
- Accession number :
- edsair.doi.dedup.....74e9bed92156ae9b4bb1cfdb4dd58793