- Title
- Analysing a power transformer's internal response to system transients using a hybrid modelling methodology
- Creator
- Mitchell, Steven D.; Oliveira, Gustavo H. C.
- Relation
- International Journal of Electrical Power and Energy Systems Vol. 69, p. 67-75
- Publisher Link
- http://dx.doi.org/10.1016/j.ijepes.2014.12.064
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2015
- Description
- This article presents a novel approach to analysing a power transformer's internal response to system transients. In this approach a hybrid modelling methodology is adopted which leverages the distinct advantages offered by both Black and Grey Box modelling techniques. The Black Box model of the transformer is used within the EMTP system study environment in order to take advantage of its mathematical flexibility and modelling accuracy. Transients derived from network switching operations within the study can then be used for injection tests within the Grey Box modelling environment. The Grey Box model, which is based upon the physical structure of the transformer, will facilitate analysis of the transformer's internal voltage response to the external stimulus. A fundamental difference between the approach described in this paper and more traditional approaches is that it does not require prior knowledge of the internal geometry of the transformer. All of the modelling parameters are derived from external tests, nameplate details and an intrinsic understanding of common transformer design principles. This can be a distinct advantage since in most cases a transformer's design specifications are not readily available outside of the laboratory due to the manufacturer's intellectual property restrictions. A study of a gas insulated substation within a hydroelectric power plant in Brazil is used to demonstrate the proposed technique.
- Subject
- power transformer; black box; grey box; model; resonant overvoltage; EMTP
- Identifier
- http://hdl.handle.net/1959.13/1319838
- Identifier
- uon:23984
- Identifier
- ISSN:0142-0615
- Language
- eng
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