Next-Generation Cyber-Physical Microgrid Systems: A Practical Guide to Communication Technologies and Resilience presents the opportunities and challenges of using communication network technology to integrate distributed generation systems into microgrids.
Working their way through case studies and theoretical strategies, the global range of authors analyze the particular needs of different system structures, including DC, AC-DC and hybrid microgrids, island-bound or grid-connected systems, and case studies in wind power and photovoltaic systems. Risks arising from the communication networks are addressed in detail, with strategies covered including modelling, cyber-physical security set-ups, applications of blockchain, demand-response analyses, and the impact and mitigation of cyber-attacks. Power-electronics interfaces for the integration of these technologies are demonstrated and explained.
With a wealth of real-world, practical advice for the implementation and protection of these communication strategies, Next-Generation Cyber-Physical Microgrid Systems will be a useful resource for researchers and industry professionals developing the sustainable energy systems of the future.
1. Next-Generation Cyber-Physical Microgrid Systems - p. i 2. Cover - p. i 3. Title page - p. i 4. Copyright - p. ii 5. Table of Contents - p. ii 6. List of Contributors - p. ix 7. Preface - p. xi 8. 1 Demand response analysis in microgrids with blockchain: A comprehensive cyber-physical approach - p. 1 9. 2 Cyber-physical security in a stand-alone photovoltaic system for rural electrification - p. 29 10. 3 A brief review on control strategies for hydrostatic transmission-based wind turbines - p. 77 11. 4 Optimal placing and sizing of distributed generation in distribution system with different weighing factors - p. 91 12. 5 Modeling and optimization of distributed energy resources in microgrid - p. 119 13. 6 Microgrid energy management systems with secure communication modeling - p. 137 14. 7 Modeling and analysis of a standalone hybrid green microgrid system - p. 155 15. 8 Machine learning based side channel power attack analysis of VLSI implementations in microgrids - p. 185 16. 9 Detecting and mitigating cyber-physical attacks in microgrids to ensure resilient and sustainable communities - p. 215 17. 10 Blockchain technology for hybrid AC–DC microgrids - p. 233 18. Index - p. 259
Next-Generation Cyber-Physical Microgrid Systems: A Practical Guide to Communication Technologies and Resilience presents the opportunities and challenges of using communication network technology to integrate distributed generation systems into microgrids.
Working their way through case studies and theoretical strategies, the global range of authors analyze the particular needs of different system structures, including DC, AC-DC and hybrid microgrids, island-bound or grid-connected systems, and case studies in wind power and photovoltaic systems. Risks arising from the communication networks are addressed in detail, with strategies covered including modelling, cyber-physical security set-ups, applications of blockchain, demand-response analyses, and the impact and mitigation of cyber-attacks. Power-electronics interfaces for the integration of these technologies are demonstrated and explained.
With a wealth of real-world, practical advice for the implementation and protection of these communication strategies, Next-Generation Cyber-Physical Microgrid Systems will be a useful resource for researchers and industry professionals developing the sustainable energy systems of the future.
1. Next-Generation Cyber-Physical Microgrid Systems - p. i 2. Cover - p. i 3. Title page - p. i 4. Copyright - p. ii 5. Table of Contents - p. ii 6. List of Contributors - p. ix 7. Preface - p. xi 8. 1 Demand response analysis in microgrids with blockchain: A comprehensive cyber-physical approach - p. 1 9. 2 Cyber-physical security in a stand-alone photovoltaic system for rural electrification - p. 29 10. 3 A brief review on control strategies for hydrostatic transmission-based wind turbines - p. 77 11. 4 Optimal placing and sizing of distributed generation in distribution system with different weighing factors - p. 91 12. 5 Modeling and optimization of distributed energy resources in microgrid - p. 119 13. 6 Microgrid energy management systems with secure communication modeling - p. 137 14. 7 Modeling and analysis of a standalone hybrid green microgrid system - p. 155 15. 8 Machine learning based side channel power attack analysis of VLSI implementations in microgrids - p. 185 16. 9 Detecting and mitigating cyber-physical attacks in microgrids to ensure resilient and sustainable communities - p. 215 17. 10 Blockchain technology for hybrid AC–DC microgrids - p. 233 18. Index - p. 259
