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Optimisation of the HVDC auto transformer by using hybrid MMC modulation

Titelangaben

Schön, André ; Hofmann, Viktor ; Bakran, Mark-M.:
Optimisation of the HVDC auto transformer by using hybrid MMC modulation.
In: IET Power Electronics. Bd. 11 (2018) Heft 3 . - S. 468-476.
ISSN 1755-4535
DOI: https://doi.org/10.1049/iet-pel.2017.0417

Abstract

Over the recent years, the modular multilevel converter has become the state-of-the-art technology for high-voltage
(HV) alternating current (AC) to direct current (DC) converters and also upcoming HV DC to DC converters. Especially modular multilevel converters (MMCs) with half-bridge (HB) sub-modules (SMs) are already widely established. Due to the increasing requirements, such as a DC fault ride through and active DC fault current suppression, also MMCs with full-bridge (FB) SMs
become more and more attractive. However, the higher losses of the FB SMs require further optimisation to achieve full market acceptance. With the new hybrid modulation technique, combining the advantages of HB and FB SMs, more efficient DC fault resilient converters can be designed. In this study, a new hybrid modulation technique is investigated and implemented for the new HV DC–DC auto transformer, to create a highly efficient, DC fault resilient HV DC–DC converter. A theoretical loss calculation method for hybrid MMCs is developed. The theoretical analysis is validated by means of a full-scale simulation model.

Weitere Angaben

Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Mechatronik > Lehrstuhl Mechatronik - Univ.-Prof. Dr.-Ing. Mark-M. Bakran
Profilfelder > Advanced Fields > Neue Materialien
Profilfelder > Emerging Fields > Energieforschung und Energietechnologie
Forschungseinrichtungen > Forschungsstellen > ZET - Zentrum für Energietechnik
Fakultäten
Fakultäten > Fakultät für Ingenieurwissenschaften
Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Mechatronik
Profilfelder
Profilfelder > Advanced Fields
Profilfelder > Emerging Fields
Forschungseinrichtungen
Forschungseinrichtungen > Forschungsstellen
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Eingestellt am: 13 Nov 2018 08:12
Letzte Änderung: 13 Nov 2018 08:12
URI: https://eref.uni-bayreuth.de/id/eprint/46276