Analysis, Optimization and Control of Grid-Interfaced Matrix-Based Isolated AC-DC Converters
(Sprache: Englisch)
This book presents novel contributions in the development of solid-state-transformer (SST) technology both for medium-voltage (MV) and low-voltage (LV) utility grid interfaces, which can potentially augment the grid modernization process in the evolving...
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This book presents novel contributions in the development of solid-state-transformer (SST) technology both for medium-voltage (MV) and low-voltage (LV) utility grid interfaces, which can potentially augment the grid modernization process in the evolving power system paradigm. For the MV interface, a single-stage AC-DC SST submodule topology has been proposed, and its modulation and soft-switching possibilities are analysed, experimentally validated and adequately benchmarked. A control scheme with power balance capability among submodules is developed for MV grid-connected single-stage AC-DC SST for smooth operation under inevitable parameter drift scenario, and experimental validation shows excellent performance under drastic load change conditions. A novel machine learning-aided multi-objective design optimization framework for grid-connected SST is developed and experimentally validated, which equips a power electronics design engineer with meagre computational resources to findout the most optimal SST design in a convenient time-frame. This book has also contributed towards the development of dual-active-bridge (DAB)-type and non-DAB-type LV grid-interfaced isolated AC-DC converters by providing solutions to specific topology and modulation-related shortcomings in these two types of topologies. A comprehensive comparison of the DAB and non-DAB-type LVAC-LVDC converters reveals the superiority of DAB-type conversion strategy.Inhaltsverzeichnis zu „Analysis, Optimization and Control of Grid-Interfaced Matrix-Based Isolated AC-DC Converters “
Introduction.- Selection of Submodule Topology in MVAC-LVDC Modular SST.- Half-bridge Matrix-Based Dual-Active-Bridge.- Machine Learning Aided Design Optimization Framework for Medium-Voltage Grid-Connected Solid-State-Transformers.- Power Balance Control Scheme for a Cascaded Matrix-Based Dual-Active-Bridge (CMB-DAB) Converter.- Three-Phase Matrix-Based Isolated AC-DC Conversion.- Conclusions and Future Work.
Bibliographische Angaben
- Autor: Jaydeep Saha
- 2022, 1st ed. 2022, XLII, 263 Seiten, 122 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811949018
- ISBN-13: 9789811949012
Sprache:
Englisch
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