Control of Power Electronic Converters and Systems, Volume Four covers emerging topics in the control of power electronics and converters not covered in previous volumes, including emerging power converter topologies, storage systems, battery chargers and the smart transformer. This updated edition specifically focuses on emerging power converter topologies and discusses very recent advances and topics with applications in power electronics and formidable probable dynamics. Chapters include modeling of power converters and their control, with supportive simulations and additional experimental results.Anyone looking for fundamental knowledge regarding new trends in power electronics by application, and also ready to use models and methodologies in their design, control and testing will find this the next invaluable resource in this highly regarded series.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. xv 7. Preface - p. xix 8. Section I: Emerging power converters and control technique - p. xx 9. Chapter 1. Z-source converters and their classifications - p. 3 10. Chapter 2. Control and modulation techniques of Z-source converter - p. 27 11. Chapter 3. Dual active bridge converter and its control - p. 71 12. Chapter 4. Matrix converter: Model and control - p. 101 13. Chapter 5. Switched-boost-based multilevel inverters - p. 127 14. Chapter 6. Power electronics building blocks: Control and applications - p. 155 15. Chapter 7. Multisampled current control of grid-following voltage source converters - p. 181 16. Section II: AI in power applications - p. 213 17. Chapter 8. Artificial intelligence–assisted data-driven control of power electronics systems - p. 219 18. Chapter 9. Electric vehicle charging technology and its control - p. 241 19. Chapter 10. Physics-informed neural network-based control of power electronic converters - p. 309 20. Chapter 11. Surrogate models for power electronic systems applying machine learning techniques - p. 333 21. Section III: Storage system and applications - p. 351 22. Chapter 12. Topologies and control for battery balancing applications - p. 355 23. Chapter 13. Battery state-of-health estimation using machine learning - p. 383 24. Chapter 14. Operation and control of data centers - p. 431 25. Chapter 15. Operation and control of uninterruptible power supply system - p. 457 26. Chapter 16. Efficient modeling and simulation of wear-out and state-of-charge in storage systems - p. 511 27. Section IV: Solid state transformer and its use - p. 529 28. Chapter 17. Solid-state transformer and magnetic properties with potential topologies: Magnetic properties of soft magnetic material for medium- or high-frequency transformers - p. 535 29. Chapter 18. Voltage control of solid-state transformer to guarantee smart transformer functionalities - p. 557 30. Chapter 19. Solid-state transformer applied in electrified railway systems - p. 585 31. Index - p. 613
Control of Power Electronic Converters and Systems, Volume Four covers emerging topics in the control of power electronics and converters not covered in previous volumes, including emerging power converter topologies, storage systems, battery chargers and the smart transformer. This updated edition specifically focuses on emerging power converter topologies and discusses very recent advances and topics with applications in power electronics and formidable probable dynamics. Chapters include modeling of power converters and their control, with supportive simulations and additional experimental results.Anyone looking for fundamental knowledge regarding new trends in power electronics by application, and also ready to use models and methodologies in their design, control and testing will find this the next invaluable resource in this highly regarded series.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. xv 7. Preface - p. xix 8. Section I: Emerging power converters and control technique - p. xx 9. Chapter 1. Z-source converters and their classifications - p. 3 10. Chapter 2. Control and modulation techniques of Z-source converter - p. 27 11. Chapter 3. Dual active bridge converter and its control - p. 71 12. Chapter 4. Matrix converter: Model and control - p. 101 13. Chapter 5. Switched-boost-based multilevel inverters - p. 127 14. Chapter 6. Power electronics building blocks: Control and applications - p. 155 15. Chapter 7. Multisampled current control of grid-following voltage source converters - p. 181 16. Section II: AI in power applications - p. 213 17. Chapter 8. Artificial intelligence–assisted data-driven control of power electronics systems - p. 219 18. Chapter 9. Electric vehicle charging technology and its control - p. 241 19. Chapter 10. Physics-informed neural network-based control of power electronic converters - p. 309 20. Chapter 11. Surrogate models for power electronic systems applying machine learning techniques - p. 333 21. Section III: Storage system and applications - p. 351 22. Chapter 12. Topologies and control for battery balancing applications - p. 355 23. Chapter 13. Battery state-of-health estimation using machine learning - p. 383 24. Chapter 14. Operation and control of data centers - p. 431 25. Chapter 15. Operation and control of uninterruptible power supply system - p. 457 26. Chapter 16. Efficient modeling and simulation of wear-out and state-of-charge in storage systems - p. 511 27. Section IV: Solid state transformer and its use - p. 529 28. Chapter 17. Solid-state transformer and magnetic properties with potential topologies: Magnetic properties of soft magnetic material for medium- or high-frequency transformers - p. 535 29. Chapter 18. Voltage control of solid-state transformer to guarantee smart transformer functionalities - p. 557 30. Chapter 19. Solid-state transformer applied in electrified railway systems - p. 585 31. Index - p. 613
