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Analysis, optimization and control of grid-interfaced matrix-based isolated AC-DC converters

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analysis, optimization and control of grid-interfaced matrix-based isolated AC-DC convertersby Jaydeep Saha.
Author:	Saha, Jaydeep.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xlii, 263 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electric current converters.
Online resource:	https://doi.org/10.1007/978-981-19-4902-9
ISBN:	9789811949029$q(electronic bk.)

Analysis, optimization and control of grid-interfaced matrix-based isolated AC-DC converters
Saha, Jaydeep.

Analysis, optimization and control of grid-interfaced matrix-based isolated AC-DC converters[electronic resource] /by Jaydeep Saha. - Singapore :Springer Nature Singapore :2022. - xlii, 263 p. :ill., digital ;24 cm. - Springer theses,2190-5061. - Springer theses..

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.

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 find out 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.

ISBN: 9789811949029$q(electronic bk.)

Standard No.: 10.1007/978-981-19-4902-9doiSubjects--Topical Terms:

257863
Electric current converters.

LC Class. No.: TK7872.C8

Dewey Class. No.: 621.3815322

Analysis, optimization and control of grid-interfaced matrix-based isolated AC-DC converters
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505 0 $a 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.
520 $a 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 find out 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.
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