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Abstract
For electrolyzer applications, traditional solutions using line frequency transformers plus rectifiers are bulky, heavy and have low controllability. The Solid State Transformer (SST) could be a promising solution to solve the mentioned issues. This paper compares the semiconductor ratings and capacitance of five different Modular Multilevel Converter (MMC) based Solid State Transformer (SST) topologies. The results show that the DRU (Diode Rectifier Unit)-MMC based topologies have the lowest semiconductor ratings and capacitance. Because of the unidirectional power flow requirement, the source side MMC of Back-to-Back (BtB) MMC based SST could be replaced by DRU, thus the cost is drastically saved. Another interesting finding is that the DRU-MMC energy ripple is much lower than half of the energy ripple in BtB MMC, which is different from HVDC MMC.
Original language | English |
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Title of host publication | IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society |
Publisher | IEEE |
ISBN (Electronic) | 9798350331820 |
DOIs | |
Publication status | Published - 2023 |
Event | 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023 |
Publication series
Name | IECON Proceedings (Industrial Electronics Conference) |
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ISSN (Print) | 2162-4704 |
ISSN (Electronic) | 2577-1647 |
Conference
Conference | 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 |
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Country/Territory | Singapore |
City | Singapore |
Period | 16/10/23 → 19/10/23 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Electrolyzer
- Modular Multilevel Converter
- Solid State Transformer
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Flexible Offshore Wind Hydrogen Power Plant Module
Qin, Z., Bauer, P., Ghaffarian Niasar, M., Li, Z. & Mirzadarani, R.
1/04/22 → 31/03/26
Project: Research