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Emerging Power Converters for Renewable Energy and Electric Vehicles : Modeling, Design, and Control

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Title: Emerging Power Converters for Renewable Energy and Electric Vehicles : Modeling, Design, and Control
Author: , Md. Rabiul Islam, Md. Rakibuzzaman Shah
ISBN: 0367528142 / 9780367528140
Format: Soft Cover
Pages: 418
Publisher: CRC Press
Year: 2023
Availability: 2 to 3 weeks.
     
 
  • Description
  • Contents

This book covers advancements of power electronic converters and their control techniques for grid integration of large-scale renewable energy sources and electrical vehicles. Major emphasis is on transformer-less direct grid integration, bidirectional power transfer, compensation of grid power quality issues, DC system protection and grounding, interaction in mixed AC/DC systems, AC and DC system stability, design of high-frequency high power density systems with advanced soft magnetic materials, modeling and simulation of mixed AC/DC systems, switching strategies for enhanced efficiency, and protection and reliability for sustainable grid integration. This book is an invaluable resource for professionals active in the field of renewable energy and power conversion.

Preface

Chapter 1 :
Modelling, Design and Control of Solid-State Transformer for Grid Integration of Renewable Sources
Chapter 2 : Magnetic Linked Power Converter for Transformer-less Direct Grid Integration of Renewable Generation Systems
Chapter 3 : Power Electronics for Wireless Charging of Future Electric Vehicles
Chapter 4 : Power Electronics-Based Solutions for Supercapacitors in Electric Vehicles
Chapter 5 : Front-End Power Converter Topologies for Plug-in Electric Vehicles
Chapter 6 : Advance and Comprehensive Control Methods in Wind Energy System
Chapter 7 : Converter Based Advanced Diagnose and Monitoring Technologies for Offshore Wind Turbines
Chapter 8 : A Comprehensive Stability Analysis of Multi-Converter based DC Microgrid
Chapter 9 : Stability of Remote Microgrid : Control of Power Converters
Chapter 10 : Mixed AC/DC System Stability Under Uncertainty

Index

 
 
 
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