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Determination of Parasitic Capacitance of High-Power Medium Frequency Transformers: Case study of a high voltage DC biased transformer for wind power application
RISE Research Institutes of Sweden, Säkerhet och transport, Mätteknik. Chalmers University of Technology, Sweden.ORCID-id: 0000-0002-0294-4430
University of Zanjan, Iran.
Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden.
2023 (engelsk)Inngår i: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208, Vol. 38, nr 6, s. 4263-Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Determination of parasitic capacitances is a necessary step in the design process of transformers to be used in power electronic devices. At high switching frequencies, these capacitances together with inductive elements of the circuit cause unwanted oscillations during fast transients such as sharp fronts of square voltage waves appearing in a dual active bridge converter. In the paper, parasitic capacitances of high-power transformers supposed to operate at frequencies up to several kHz and high DC offset voltages (100 kV and higher) are analyzed. Two methods based on the equivalent circuit approach are suggested. To validate the methods, they are used to determine the parameters of an equivalent circuit of a prototype transformer developed earlier. The capacitances are calculated using the results of 3D FEM simulations performed based on the structure of the transformer as input. Furthermore, another set of data used for validation of the proposed calculation methods was obtained from the conducted direct measurements of frequency dependent impedance of the transformer. The accuracy of the proposed methods is discussed. It is concluded that the methods can be used for quick estimations of the parameters of transformers designed for power electronic applications.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2023. Vol. 38, nr 6, s. 4263-
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URN: urn:nbn:se:ri:diva-66365DOI: 10.1109/tpwrd.2023.3307638Scopus ID: 2-s2.0-85168753686OAI: oai:DiVA.org:ri-66365DiVA, id: diva2:1794477
Merknad

This research was funded by the Swedish Energy Agency (Energimyndigheten, pr. Num. 44983-1 and 43048-1), as a part of the research program “Forskning och innovation inom vindkraftsområdet VindEL 2017” and “Forskning och innovationsprogrammet SamspEL 2016” and sponsored byChalmers University of Technology and RISE Research Institutes of Sweden. 

Tilgjengelig fra: 2023-09-05 Laget: 2023-09-05 Sist oppdatert: 2024-06-10bibliografisk kontrollert

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