Intelligent Control in Smart Energy Systems provides a clear and practical guide to the implementation of Artificial Intelligent (AI) techniques in modern, sustainable energy systems. Building from essential theory to advanced application processes, this book outlines the essential challenge of control for renewable and distributed energy sources and applies a range of AI solutions from deep learning, data-driven decision-making, advanced control, and optimization algorithms for smart grids. Case studies and latest results cover control across design, development, and operation of smart energy systems, touching on control in generation, distribution, and supply.
Catering to newly interdisciplinary researchers as well as those with a basic understanding of AI technologies, this book supports higher-stage undergraduates, graduate students, researchers, and system engineers in implementing best practice control techniques for a sustainable energy grid.
1. Chapter 1. Introduction to smart energy systems and advanced intelligent control - p. 1 2. Chapter 2. Power electronic components in smart energy systems - p. 13 3. Chapter 3. System architectures of intelligent control in smart energy systems - p. 33 4. Chapter 4. Model-based intelligent control in smart energy systems - p. 51 5. Chapter 5. Reinforcement learning control in smart energy systems - p. 71 6. Chapter 6. Power systems control in smart energy systems - p. 89 7. Chapter 7. Model predictive control in smart energy systems - p. 111 8. Chapter 8. Evolutionary algorithms in smart energy systems - p. 133 9. Chapter 9. Distributed energy resource management - p. 151 10. Chapter 10. Distributed control and decision making - p. 167 11. Chapter 11. Implementing intelligent control of smart energy systems - p. 187 12. Chapter 12. Sensor networks and data acquisition in smart energy systems - p. 207 13. Chapter 13. Fault diagnosis and safety of smart energy systems - p. 223 14. Chapter 14. Grid interfacing in smart energy systems - p. 239 15. Chapter 15. Solid-state relays and solid-state circuit breakers for smart energy systems - p. 255 16. Chapter 16. System interoperability and communication - p. 271 17. Chapter 17. Advanced intelligent control for smart energy systems - p. 289 18. Chapter 18. Advanced technolgies for intelligent control of smart energy systems - p. 307 19. Chapter 19. Applications of intelligent control in smart energy systems - p. 325 20. Chapter 20. Artificial intelligence control of energy management in photovoltaic systems - p. 343 21. Chapter 21. Improving electrical infrastructure: Smart energy systems for future power networks - p. 361 22. Chapter 22. The environmental impact of electronic waste and possible sustainable treatment approach - p. 377 23. Chapter 23. Conclusion and future directions - p. 397 24. Index - p. 401
Intelligent Control in Smart Energy Systems provides a clear and practical guide to the implementation of Artificial Intelligent (AI) techniques in modern, sustainable energy systems. Building from essential theory to advanced application processes, this book outlines the essential challenge of control for renewable and distributed energy sources and applies a range of AI solutions from deep learning, data-driven decision-making, advanced control, and optimization algorithms for smart grids. Case studies and latest results cover control across design, development, and operation of smart energy systems, touching on control in generation, distribution, and supply.
Catering to newly interdisciplinary researchers as well as those with a basic understanding of AI technologies, this book supports higher-stage undergraduates, graduate students, researchers, and system engineers in implementing best practice control techniques for a sustainable energy grid.
1. Chapter 1. Introduction to smart energy systems and advanced intelligent control - p. 1 2. Chapter 2. Power electronic components in smart energy systems - p. 13 3. Chapter 3. System architectures of intelligent control in smart energy systems - p. 33 4. Chapter 4. Model-based intelligent control in smart energy systems - p. 51 5. Chapter 5. Reinforcement learning control in smart energy systems - p. 71 6. Chapter 6. Power systems control in smart energy systems - p. 89 7. Chapter 7. Model predictive control in smart energy systems - p. 111 8. Chapter 8. Evolutionary algorithms in smart energy systems - p. 133 9. Chapter 9. Distributed energy resource management - p. 151 10. Chapter 10. Distributed control and decision making - p. 167 11. Chapter 11. Implementing intelligent control of smart energy systems - p. 187 12. Chapter 12. Sensor networks and data acquisition in smart energy systems - p. 207 13. Chapter 13. Fault diagnosis and safety of smart energy systems - p. 223 14. Chapter 14. Grid interfacing in smart energy systems - p. 239 15. Chapter 15. Solid-state relays and solid-state circuit breakers for smart energy systems - p. 255 16. Chapter 16. System interoperability and communication - p. 271 17. Chapter 17. Advanced intelligent control for smart energy systems - p. 289 18. Chapter 18. Advanced technolgies for intelligent control of smart energy systems - p. 307 19. Chapter 19. Applications of intelligent control in smart energy systems - p. 325 20. Chapter 20. Artificial intelligence control of energy management in photovoltaic systems - p. 343 21. Chapter 21. Improving electrical infrastructure: Smart energy systems for future power networks - p. 361 22. Chapter 22. The environmental impact of electronic waste and possible sustainable treatment approach - p. 377 23. Chapter 23. Conclusion and future directions - p. 397 24. Index - p. 401
