Control of Power Electronic Converters and Systems: Volume 4

1st Edition - February 24, 2024
Editor: Frede Blaabjerg
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 6 2 2 - 5
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 6 2 3 - 2

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, includ… Read more

Control of Power Electronic Converters and Systems: Volume 4

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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.

Cover image
Title page
Table of Contents
Copyright
Contributors
Preface
Section I. Emerging power converters and control technique
Chapter 1. Z-source converters and their classifications
1.1. Background of Z-source converters (impedance-source converters)
1.2. Future directions
Chapter 2. Control and modulation techniques of Z-source converter
2.1. Modeling of Z-source inverter
2.2. Modulation strategy classification and basic introduction
2.3. Impact of modulation strategies on reliability and harmonics of impedance-source inverters
2.4. Control strategy of Z-source networked converter
Chapter 3. Dual active bridge converter and its control
3.1. Introduction
3.2. Operation principle and performance characterization of dual active bridge converter
3.3. Modeling and control for dual active bridge converter
3.4. Summary
Chapter 4. Matrix converter: Model and control
4.1. Introduction
4.2. Modeling and control of third-harmonic injection matrix converter
4.3. Model and control of high-frequency link matrix converter
4.4. Summary
Chapter 5. Switched-boost-based multilevel inverters
5.1. Introduction
5.2. Switched-boost-based 3L converter: A basic cell
5.3. Switched-boost-based 5L voltage source inverters
5.4. Switched-boost-based hybrid multilevel voltage source inverters
5.5. Interleaved configuration of switched-boost-based multilevel voltage source inveters with a comparative study
5.6. Conclusion
Chapter 6. Power electronics building blocks: Control and applications
6.1. Introduction
6.2. Design considerations of power electronics building block architecture
6.3. Summary
Chapter 7. Multisampled current control of grid-following voltage source converters
7.1. Introduction
7.2. Multisampling pulse width modulation analysis and aliasing suppression
7.3. Dissipation of converter-side current control
7.4. Dissipation of grid-side current control
7.5. Summary
Section II. AI in power applications
Chapter 8. Artificial intelligence–assisted data-driven control of power electronics systems
8.1. Introduction
8.2. Metaheuristic methods
8.3. Fuzzy logic
8.4. Machine learning
8.5. Perspectives and outlooks
8.6. Conclusions
Chapter 9. Electric vehicle charging technology and its control
9.1. Introduction to electric vehicle charging
9.2. Onboard charger
9.3. Offboard charger
9.4. Contactless charger
9.5. Power quality of EV charging
9.6. Smart charging
9.7. Summary
Chapter 10. Physics-informed neural network-based control of power electronic converters
10.1. Introduction
10.2. Trends in scientific computing
10.3. Data-driven estimation problems in controlling power electronics under saturation boundaries
10.4. Physics-informed neural network for power electronics
10.5. Results using physics-informed neural networks
10.6. Conclusions
Chapter 11. Surrogate models for power electronic systems applying machine learning techniques
11.1. Introduction
11.2. Basic framework of surrogate model
11.3. Examples of applying surrogate modeling in power electronics
11.4. Detailed example applying surrogate modeling to power semiconductor thermal modeling considering cross-coupling effects
11.5. Conclusions
Section III. Storage system and applications
Chapter 12. Topologies and control for battery balancing applications
12.1. Introduction
12.2. Balancing topologies
12.3. Balancing control
12.4. Field examples
12.5. Summary
Chapter 13. Battery state-of-health estimation using machine learning
13.1. Introduction—what is battery state of health?
13.2. Battery performance and degradation
13.3. Overview of state-of-health estimation methods
13.4. Feature-based battery state-of-health estimation
13.5. Sequence-based battery state-of-health estimation
13.6. Comparison of machine learning-based state-of-health estimation
13.7. Summary
Chapter 14. Operation and control of data centers
14.1. Introduction
14.2. Full power processing–based point-of-load converters
14.3. Differential power processing–based point-of-load converters
14.4. Operation and control for data centers
14.5. Summary
Chapter 15. Operation and control of uninterruptible power supply system
15.1. Introduction
15.2. Power converter topologies for uninterruptible power supply systems
15.3. Uninterruptible power supply control techniques
15.4. Progress in uninterruptible power supplies
15.5. Summary
Chapter 16. Efficient modeling and simulation of wear-out and state-of-charge in storage systems
16.1. Introduction
16.2. Wear-out concept of battery energy storage
16.3. Challenges in estimating degradation
16.4. Online incremental degradation estimation
16.5. Case study
16.6. Conclusion
Section IV. Solid state transformer and its use
Chapter 17. Solid-state transformer and magnetic properties with potential topologies: Magnetic properties of soft magnetic material for medium- or high-frequency transformers
17.1. Introduction
17.2. Classification of soft magnetic materials for solid-state transformers
17.3. Magnetic properties of soft magnetic materials under actual conditions
17.4. Summary
Chapter 18. Voltage control of solid-state transformer to guarantee smart transformer functionalities
18.1. Solid-state transformer architectures
18.2. Smart transformer control structures
18.3. Stability and power quality assessment of smart transformer–fed LVAC grids
18.4. Influence of current feedback
18.5. Tuning of current and voltage controllers
18.6. Conclusions
Chapter 19. Solid-state transformer applied in electrified railway systems
19.1. Introduction
19.2. Development of solid-state transformers in traction power system
19.3. Solid-state transformers in AC electrified railway
19.4. Solid-state transformers in DC electrified railway systems
19.5. Simulation results
19.6. Challenges and opportunities
19.7. Summary
Index

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Frede Blaabjerg