Analysis, Optimization and Control of Grid-Interfaced Matrix-Based Isolated AC-DC Converters: Springer Theses
Autor Jaydeep Sahaen Limba Engleză Hardback – 6 noi 2022
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Specificații
ISBN-13: 9789811949012
ISBN-10: 9811949018
Pagini: 263
Ilustrații: XLII, 263 p. 138 illus., 122 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Springer Theses
Locul publicării:Singapore, Singapore
ISBN-10: 9811949018
Pagini: 263
Ilustrații: XLII, 263 p. 138 illus., 122 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.66 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Springer Theses
Locul publicării:Singapore, Singapore
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Highlights the latest development of solid-state-transformer (SST) technology Presents a novel machine learning-aided multi-objective design optimization framework for grid-connected SST Provides solutions to the topology and modulation-related shortcomings for LV grid-interfaced isolated AC-DC converters