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New transformerless, scalable Modular Multilevel Converters for HVDC-transmission

Allebrod, Silke, Hamerski, Roman, Marquardt, Rainer·2008·2008 IEEE Power Electronics Specialists Conference

Abstract

In this paper a novel concept of high voltage direct current converter (HVDC) is presented employing the modular multilevel converter (M2C). Converters using IGBT-power devices, are getting increased importance in order to meet the global needs for reliable and environment friendly power supply and distribution. The new topology is compared to HVDC-transmission based on two level (2level) converters with direct series connected IGBT- devices or known multilevel converters. Main design aspects, concerning the rating of the power devices, the power losses and achievable efficiencies are investigated. For this purpose, a new computation method is presented and applied. This enables clear insight into the influence of various design parameters in a generalized form. Additionally, the characteristics and the differences of the topologies, with respect to passive filters, the necessary pulse frequencies and the arm currents are examined. As an example of the results, a comparison of the semiconductor losses and the efficiencies of the different topologies are given.

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Metadata

Authors
Allebrod, S., Hamerski, R., & Marquardt, R.
Venue
2008 IEEE Power Electronics Specialists Conference
Publisher
IEEE
Published
2008-06
Pages
174-179
ISSN
0275-9306 (ISSN-L)
OpenAlex
W2111134324
Cited by
785
References
0
FWCI
39.44
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: New transformerless, scalable Modular Multilevel Converters for HVDC-transmission. https://app.cochat.ai/papers/10.1109/pesc.2008.4591920
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Allebrod, S., Hamerski, R., & Marquardt, R. (2008). New transformerless, scalable Modular Multilevel Converters for HVDC-transmission. 2008 IEEE Power Electronics Specialists Conference. https://doi.org/10.1109/pesc.2008.4591920

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.