Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems is a comprehensive guide designed to equip readers with the knowledge and tools necessary to navigate the complexities of modern energy and transport systems. Bridging the gap between foundational theories and cutting-edge applications, the book emphasizes actionable strategies for enhancing system performance and resilience. With a focus on sustainable solutions, it empowers professionals to address critical challenges in an era of increasing interdependence between power and transport infrastructures.
Beyond its foundational principles, the book delves into advanced methodologies, practical case studies, and innovative technologies. It serves as an indispensable resource for engineers, researchers, and policymakers, fostering a deeper understanding of system optimization.
1. Part I. Introduction - p. 1 2. Chapter 1. Introduction of Integrated Power and Transport System - p. 3 3. Part II. Fundamentals - p. 13 4. Chapter 2. Game Theory - p. 15 5. Chapter 3. Variational Inequality - p. 23 6. Chapter 4. Resilience of Integrated Power and Transport System - p. 29 7. Part III. Design and Planning - p. 37 8. Chapter 5. Design and Planning of Integrated Power and Transport System - p. 39 9. Chapter 6. Robust Expansion Planning Model for Integrated Power and Transport Systems Considering Multiple Uncertainties - p. 67 10. 6.1 Introduction - p. 67 11. 6.2 Basic Structure - p. 70 12. 6.3 Uncertainty Handing - p. 71 13. 6.4 Deterministic Mathematical Modeling - p. 72 14. 6.5 Two-Stage Robust Optimization Formulation - p. 85 15. 6.6 Solution Method: A Two-Level C&CG-OA Algorithm - p. 88 16. 6.7 Case Study - p. 92 17. 6.8 Conclusion - p. 100 18. Part IV. Optimal Operation Under Noncooperative Game Theory - p. 105 19. Chapter 7. On Static Network Equilibrium of Integrated Power and Transport System: A Variational Inequality Approach - p. 107 20. 7.1 Introduction - p. 107 21. 7.2 Transportation Modeling - p. 109 22. 7.3 Power Distribution Network Modeling - p. 116 23. 7.4 Static Network Equilibrium of IPTS - p. 118 24. 7.5 Solution Method - p. 126 25. 7.6 Case Study - p. 131 26. 7.7 Conclusion - p. 139 27. Chapter 8. On Dynamic Network Equilibrium of Integrated Power and Transport System: A Differential Variational Inequality Approach - p. 141 28. 8.1 Introduction - p. 141 29. 8.2 Dynamic Mathematical Modeling of Urban TNs - p. 144 30. 8.3 Mathematical Modeling of PDN - p. 154 31. 8.4 Dynamic Equalization and Solution Algorithms for Time–Space Coupled Networks - p. 158 32. 8.5 Cases Study - p. 161 33. 8.6 Conclusion - p. 171 34. Chapter 9. Nested Game Model for Integrated Power and Transport System Considering Demand Elasticity: A Quasi-Variational Inequality Approach - p. 175 35. Part V. Optimal Operation Under Cooperative Game Theory - p. 201 36. Chapter 10. Collaborative Pricing in Integrated Power and Transport System: From Network Equilibrium to System Optimum - p. 203 37. Chapter 11. Decentralized Optimization of Multiarea Integrated Power and Transport Systems Based on Variational Inequality - p. 227 38. 11.1 Introduction - p. 227 39. 11.2 Optimization Model of a Multiarea IPTS and Decoupling Strategy - p. 229 40. 11.3 Solution Methods - p. 233 41. 11.4 Case Study - p. 243 42. 11.5 Conclusion - p. 253 43. Chapter 12. Robust Optimal Operation of Integrated Power and Transport System Considering Mixed Demand Uncertainties - p. 255 44. Part VI. Resilience Enhancement - p. 279 45. Chapter 13. Resilience Enhancement Strategies of Integrated Power and Transport System Against Extreme Weather Events - p. 281 46. 13.1 Introduction - p. 281 47. 13.2 Establishment of a Three-Layer Model for Enhancing the Resilience of the Power–Transportation Coupling System - p. 283 48. 13.3 Feasibility Transformation and Fixed-Point Theory for Solving the Model - p. 290 49. 13.4 C&CG-VI Algorithm - p. 294 50. 13.5 Simulation Analysis - p. 300 51. 13.6 Conclusion - p. 306 52. Chapter 14. Dynamic Load Restoration for Integrated Power and Transport System With Uncertain Travel Demands - p. 309 53. Index - p. 327
Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems is a comprehensive guide designed to equip readers with the knowledge and tools necessary to navigate the complexities of modern energy and transport systems. Bridging the gap between foundational theories and cutting-edge applications, the book emphasizes actionable strategies for enhancing system performance and resilience. With a focus on sustainable solutions, it empowers professionals to address critical challenges in an era of increasing interdependence between power and transport infrastructures.
Beyond its foundational principles, the book delves into advanced methodologies, practical case studies, and innovative technologies. It serves as an indispensable resource for engineers, researchers, and policymakers, fostering a deeper understanding of system optimization.
1. Part I. Introduction - p. 1 2. Chapter 1. Introduction of Integrated Power and Transport System - p. 3 3. Part II. Fundamentals - p. 13 4. Chapter 2. Game Theory - p. 15 5. Chapter 3. Variational Inequality - p. 23 6. Chapter 4. Resilience of Integrated Power and Transport System - p. 29 7. Part III. Design and Planning - p. 37 8. Chapter 5. Design and Planning of Integrated Power and Transport System - p. 39 9. Chapter 6. Robust Expansion Planning Model for Integrated Power and Transport Systems Considering Multiple Uncertainties - p. 67 10. 6.1 Introduction - p. 67 11. 6.2 Basic Structure - p. 70 12. 6.3 Uncertainty Handing - p. 71 13. 6.4 Deterministic Mathematical Modeling - p. 72 14. 6.5 Two-Stage Robust Optimization Formulation - p. 85 15. 6.6 Solution Method: A Two-Level C&CG-OA Algorithm - p. 88 16. 6.7 Case Study - p. 92 17. 6.8 Conclusion - p. 100 18. Part IV. Optimal Operation Under Noncooperative Game Theory - p. 105 19. Chapter 7. On Static Network Equilibrium of Integrated Power and Transport System: A Variational Inequality Approach - p. 107 20. 7.1 Introduction - p. 107 21. 7.2 Transportation Modeling - p. 109 22. 7.3 Power Distribution Network Modeling - p. 116 23. 7.4 Static Network Equilibrium of IPTS - p. 118 24. 7.5 Solution Method - p. 126 25. 7.6 Case Study - p. 131 26. 7.7 Conclusion - p. 139 27. Chapter 8. On Dynamic Network Equilibrium of Integrated Power and Transport System: A Differential Variational Inequality Approach - p. 141 28. 8.1 Introduction - p. 141 29. 8.2 Dynamic Mathematical Modeling of Urban TNs - p. 144 30. 8.3 Mathematical Modeling of PDN - p. 154 31. 8.4 Dynamic Equalization and Solution Algorithms for Time–Space Coupled Networks - p. 158 32. 8.5 Cases Study - p. 161 33. 8.6 Conclusion - p. 171 34. Chapter 9. Nested Game Model for Integrated Power and Transport System Considering Demand Elasticity: A Quasi-Variational Inequality Approach - p. 175 35. Part V. Optimal Operation Under Cooperative Game Theory - p. 201 36. Chapter 10. Collaborative Pricing in Integrated Power and Transport System: From Network Equilibrium to System Optimum - p. 203 37. Chapter 11. Decentralized Optimization of Multiarea Integrated Power and Transport Systems Based on Variational Inequality - p. 227 38. 11.1 Introduction - p. 227 39. 11.2 Optimization Model of a Multiarea IPTS and Decoupling Strategy - p. 229 40. 11.3 Solution Methods - p. 233 41. 11.4 Case Study - p. 243 42. 11.5 Conclusion - p. 253 43. Chapter 12. Robust Optimal Operation of Integrated Power and Transport System Considering Mixed Demand Uncertainties - p. 255 44. Part VI. Resilience Enhancement - p. 279 45. Chapter 13. Resilience Enhancement Strategies of Integrated Power and Transport System Against Extreme Weather Events - p. 281 46. 13.1 Introduction - p. 281 47. 13.2 Establishment of a Three-Layer Model for Enhancing the Resilience of the Power–Transportation Coupling System - p. 283 48. 13.3 Feasibility Transformation and Fixed-Point Theory for Solving the Model - p. 290 49. 13.4 C&CG-VI Algorithm - p. 294 50. 13.5 Simulation Analysis - p. 300 51. 13.6 Conclusion - p. 306 52. Chapter 14. Dynamic Load Restoration for Integrated Power and Transport System With Uncertain Travel Demands - p. 309 53. Index - p. 327
