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CC BY-NC-SA V4.0, Open Access
Thesis
MODULATIONS OF HIGH RELIABILITY AND DYNAMIC CONTROLS FOR HIGH-POWER CURRENT-SOURCE CONVERTERS
Washington State University
Master of Science (MS), Washington State University
05/2024
DOI:
https://doi.org/10.7273/000006948
Abstract
The landscape of indirect high-power converters' control and it's drive applications has undergone significant transitions over the last decade due to the rapid expansion and development in emerging semiconductor devices, high-power conversion topologies, analog or digital electronics, autonomous control and V2G-G2V technology. This thesis investigates four branches of efforts with an emphasis on the fast dynamic response analysis and steady-state performance of high-power 2-L 3[phi] CSCs across different operational modes. Firstly, a five-segment synthesis with an optimally selected third ASV for AZS-SVM is proposed to mitigate HF CMVs introduced from Solar PVs. Secondly, a hybrid ZSV-AZS SVM technique is explored to mitigate low-order CMVs in electric drive operation. Additionally, a V-I Droop control combined with SVM technology is examined for the series-connected onshore grid-side CSIs for local operation. Finally, a novel FCS-MPC-based OEST is analyzed for stand-alone CSI drive to resolve current commutation issues during any double and quad switching transitions. Simulation and experimental results serve to validate the performance of CSC drive in achieving high-power density, modularity, reliable grid-integration, and robustness in power-electronic converter control.
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Details
- Title
- MODULATIONS OF HIGH RELIABILITY AND DYNAMIC CONTROLS FOR HIGH-POWER CURRENT-SOURCE CONVERTERS
- Creators
- Tahmin Mahmud
- Contributors
- Hang Gao (Chair)Feng Zhao (Committee Member)Tutku Karacolak (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Engineering and Computer Science (VANC)
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Number of pages
- 116
- Identifiers
- 99901125139901842
- Language
- English
- Resource Type
- Thesis