Title data
Schön, André ; Hofmann, Viktor ; Bakran, Mark-M.:
Optimisation of the HVDC auto transformer by
using hybrid MMC modulation.
In: IET Power Electronics.
Vol. 11
(2018)
Issue 3
.
- pp. 468-476.
ISSN 1755-4535
DOI: https://doi.org/10.1049/iet-pel.2017.0417
Abstract in another language
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.
Further data
Item Type: | Article in a journal |
---|---|
Refereed: | Yes |
Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Mechatronics > Chair Mechatronics - Univ.-Prof. Dr.-Ing. Mark-M. Bakran Profile Fields > Advanced Fields > Advanced Materials Profile Fields > Emerging Fields > Energy Research and Energy Technology Research Institutions > Research Units > ZET - Zentrum für Energietechnik Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Mechatronics Profile Fields Profile Fields > Advanced Fields Profile Fields > Emerging Fields Research Institutions Research Institutions > Research Units |
Result of work at the UBT: | Yes |
DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 13 Nov 2018 08:12 |
Last Modified: | 09 Jan 2023 12:57 |
URI: | https://eref.uni-bayreuth.de/id/eprint/46276 |