Hierarchical Modeling of Energy Systems presents a detailed methodology for hierarchical modeling of large-scale complex systems with a focus on energy systems and their expansion planning and control. General methodological principles of hierarchical modeling are analyzed, and based on this analysis, a generalized technology for the hierarchical approach is presented. The mathematical foundations of decomposition and bi-level programming, as well as the possibility of using information technologies are also considered. The theoretical propositions are demonstrated by numerous hierarchical modeling examples aimed at planning the development of the energy sector and expansion of energy systems, analyzing, and optimizing these systems, and controlling their operation.
In addition, codes and sample simulations are included throughout. This is an invaluable guide for researchers, engineers, and other specialists involved in the development, control and management of energy systems, while the summary of fundamental principles and concepts in energy modeling makes this an accessible learning tool for graduate students on any course involving energy systems or energy modeling.
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. Dedication - p. iv 7. List of figures - p. xi 8. Contributors - p. xix 9. Biography - p. xxi 10. Preface - p. xxv 11. Chapter 1. Methodological framework for hierarchical modeling of energy systems - p. 1 12. Abstract - p. 1 13. Abbreviations - p. 1 14. Acknowledgements - p. 1 15. 1.1 Energy systems as objects of hierarchical modeling - p. 1 16. 1.2 General methodological approaches to hierarchical modeling of complex systems - p. 18 17. 1.3 Generalized technology of hierarchical modeling of complex energy systems - p. 33 18. 1.4 Decomposition and bilevel programming in hierarchical modeling of energy systems - p. 32 19. 1.5 Intelligent information technologies in hierarchical modeling of energy systems - p. 64 20. References - p. 74 21. Chapter 2. Hierarchical modeling in energy sector - p. 79 22. Chapter 3. Hierarchical modeling in expansion planning of electric power systems - p. 137 23. Abstract - p. 137 24. Acknowledgements - p. 137 25. 3.1 Hierarchical expansion planning of electric power systems - p. 137 26. 3.2 Hierarchical expansion planning of power plants based on the game-theoretic approach - p. 142 27. 3.3 Hierarchy of models for expansion planning of generating capacities and backbone electrical network taking into account demand side management - p. 148 28. 3.4 Hierarchical modeling in expansion planning of electric power systems in the context of integration, deregulation, and renewable development - p. 201 29. 3.5 Hierarchical methodology for expansion planning of stand-alone electric power supply systems based on renewables - p. 200 30. Conclusions - p. 207 31. References - p. 208 32. Chapter 4. Hierarchical modeling principles for operation and control of electric power systems - p. 213 33. Chapter 5. Hierarchical modeling for development of pipeline energy systems, coal supply systems, and integrated energy systems - p. 303 34. Abstract - p. 303 35. Abbreviations - p. 303 36. Acknowledgements - p. 303 37. 5.1 Spatial and temporal hierarchy of the expansion planning of heating systems - p. 304 38. 5.2 Hierarchical modeling in the design of heating systems - p. 313 39. 5.3 Hierarchical modeling in the expansion planning of gas supply systems - p. 324 40. 5.4 Hierarchical modeling in the expansion planning of coal supply systems - p. 354 41. 5.5 Information and model software for the expansion planning of coal supply systems based on the hierarchical approach - p. 353 42. 5.6 Hierarchical modeling of integrated energy systems with renewable sources - p. 357 43. References - p. 373 44. Chapter 6. Hierarchical modeling of analysis and control of operating conditions of pipeline energy systems - p. 379 45. Abstract - p. 379 46. Abbreviations - p. 379 47. Acknowledgements - p. 379 48. Chapter outline - p. 379 49. 6.1 Methodological foundations of hierarchical modeling and optimization of operating conditions of large pipeline systems - p. 380 50. 6.2 Hierarchical modeling of operating conditions of heating systems - p. 387 51. 6.3 Hierarchical optimization of operating conditions of heating systems - p. 407 52. 6.4 Two-level model of the heat market - p. 406 53. 6.5 Review on the methods for the hierarchical reliability analysis of district heating systems - p. 419 54. 6.6 General methodological provisions of the hierarchical and comprehensive reliability analysis of district heating system - p. 424 55. 6.7 Simulation modeling of FSS operation based on statistical test method for the reliability analysis of fuel supply to HS - p. 433 56. 6.8 Probabilistic modeling of DHS functioning based on the Markov random processes - p. 432 57. 6.9 Final assessment of the reliability of DHS based on the nodal reliability indices accounting the emergency hydraulic conditions - p. 440 58. 6.10 Case study: the hierarchical and comprehensive reliability analysis of a municipal district heating system - p. 442 59. References - p. 448 60. Chapter 7. Hierarchy of mathematical modeling and optimization problems of advanced co-generation systems and fuel coproduction power generation systems - p. 457 61. Index - p. 503
Hierarchical Modeling of Energy Systems presents a detailed methodology for hierarchical modeling of large-scale complex systems with a focus on energy systems and their expansion planning and control. General methodological principles of hierarchical modeling are analyzed, and based on this analysis, a generalized technology for the hierarchical approach is presented. The mathematical foundations of decomposition and bi-level programming, as well as the possibility of using information technologies are also considered. The theoretical propositions are demonstrated by numerous hierarchical modeling examples aimed at planning the development of the energy sector and expansion of energy systems, analyzing, and optimizing these systems, and controlling their operation.
In addition, codes and sample simulations are included throughout. This is an invaluable guide for researchers, engineers, and other specialists involved in the development, control and management of energy systems, while the summary of fundamental principles and concepts in energy modeling makes this an accessible learning tool for graduate students on any course involving energy systems or energy modeling.
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. Dedication - p. iv 7. List of figures - p. xi 8. Contributors - p. xix 9. Biography - p. xxi 10. Preface - p. xxv 11. Chapter 1. Methodological framework for hierarchical modeling of energy systems - p. 1 12. Abstract - p. 1 13. Abbreviations - p. 1 14. Acknowledgements - p. 1 15. 1.1 Energy systems as objects of hierarchical modeling - p. 1 16. 1.2 General methodological approaches to hierarchical modeling of complex systems - p. 18 17. 1.3 Generalized technology of hierarchical modeling of complex energy systems - p. 33 18. 1.4 Decomposition and bilevel programming in hierarchical modeling of energy systems - p. 32 19. 1.5 Intelligent information technologies in hierarchical modeling of energy systems - p. 64 20. References - p. 74 21. Chapter 2. Hierarchical modeling in energy sector - p. 79 22. Chapter 3. Hierarchical modeling in expansion planning of electric power systems - p. 137 23. Abstract - p. 137 24. Acknowledgements - p. 137 25. 3.1 Hierarchical expansion planning of electric power systems - p. 137 26. 3.2 Hierarchical expansion planning of power plants based on the game-theoretic approach - p. 142 27. 3.3 Hierarchy of models for expansion planning of generating capacities and backbone electrical network taking into account demand side management - p. 148 28. 3.4 Hierarchical modeling in expansion planning of electric power systems in the context of integration, deregulation, and renewable development - p. 201 29. 3.5 Hierarchical methodology for expansion planning of stand-alone electric power supply systems based on renewables - p. 200 30. Conclusions - p. 207 31. References - p. 208 32. Chapter 4. Hierarchical modeling principles for operation and control of electric power systems - p. 213 33. Chapter 5. Hierarchical modeling for development of pipeline energy systems, coal supply systems, and integrated energy systems - p. 303 34. Abstract - p. 303 35. Abbreviations - p. 303 36. Acknowledgements - p. 303 37. 5.1 Spatial and temporal hierarchy of the expansion planning of heating systems - p. 304 38. 5.2 Hierarchical modeling in the design of heating systems - p. 313 39. 5.3 Hierarchical modeling in the expansion planning of gas supply systems - p. 324 40. 5.4 Hierarchical modeling in the expansion planning of coal supply systems - p. 354 41. 5.5 Information and model software for the expansion planning of coal supply systems based on the hierarchical approach - p. 353 42. 5.6 Hierarchical modeling of integrated energy systems with renewable sources - p. 357 43. References - p. 373 44. Chapter 6. Hierarchical modeling of analysis and control of operating conditions of pipeline energy systems - p. 379 45. Abstract - p. 379 46. Abbreviations - p. 379 47. Acknowledgements - p. 379 48. Chapter outline - p. 379 49. 6.1 Methodological foundations of hierarchical modeling and optimization of operating conditions of large pipeline systems - p. 380 50. 6.2 Hierarchical modeling of operating conditions of heating systems - p. 387 51. 6.3 Hierarchical optimization of operating conditions of heating systems - p. 407 52. 6.4 Two-level model of the heat market - p. 406 53. 6.5 Review on the methods for the hierarchical reliability analysis of district heating systems - p. 419 54. 6.6 General methodological provisions of the hierarchical and comprehensive reliability analysis of district heating system - p. 424 55. 6.7 Simulation modeling of FSS operation based on statistical test method for the reliability analysis of fuel supply to HS - p. 433 56. 6.8 Probabilistic modeling of DHS functioning based on the Markov random processes - p. 432 57. 6.9 Final assessment of the reliability of DHS based on the nodal reliability indices accounting the emergency hydraulic conditions - p. 440 58. 6.10 Case study: the hierarchical and comprehensive reliability analysis of a municipal district heating system - p. 442 59. References - p. 448 60. Chapter 7. Hierarchy of mathematical modeling and optimization problems of advanced co-generation systems and fuel coproduction power generation systems - p. 457 61. Index - p. 503
