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Descripción

Flexible Distribution Networks facilitates the enhanced flexibility, efficiency and reliability of distribution networks under complex operating environments delivered by high DG penetration. Considering the high share of DG and flexibility improvement brought by SOP-type power electronic devices, the work aims to solve the issues of optimal operation of flexible distribution networks. Technical solutions for flexible operation problems of FDN are discussed in depth, including efficient analytical methods with high penetration of DG, SOP-based optimal operation methods with uncertainty, and high-performance convex optimization algorithms.

Readers will develop sound knowledge and gain insights into the optimal operation of FDN with high penetration of DG.

  • Provides efficient operation analysis methods for FDN with high penetration of distributed generators
  • Proposes measurement-based network estimation methods to improve the observability of network states
  • Develops SOP-based optimal operation methods to facilitate the flexible operation of FDN under complex and uncertain environments
  • Expounds local control frameworks to realize the rapid and effective implementation of flexible operation strategies
  • Reviews high-performance convex optimization methods to realize the efficient solving of optimal operation problems in FDN

1. Chapter 1. Introduction - p. 3 2. Part II: Modeling and analytical calculation - p. 10 3. Chapter 2. Components and modeling of flexible distribution networks - p. 13 4. Abstract - p. 13 5. 2.1 Introduction - p. 13 6. 2.2 Modeling of conventional distribution devices - p. 14 7. 2.3 Modeling of distributed energy resources - p. 19 8. 2.4 Modeling of flexible distribution devices - p. 26 9. 2.5 State estimation of flexible distribution network - p. 30 10. 2.6 Power flow calculation of flexible distribution networks based on modified augmented nodal analysis - p. 52 11. 2.7 Network hosting capacity assessment of distributed generator - p. 59 12. 2.8 Summary - p. 63 13. References - p. 63 14. Chapter 3. High-performance optimization algorithm - p. 65 15. Chapter 4. Quantified evaluation of operational flexibility - p. 87 16. Part III: Optimal operation and localized implementation - p. 125 17. Chapter 5. Optimal operation under complex environments - p. 129 18. Chapter 6. Supply restoration under fault condition - p. 167 19. Chapter 7. Localized operation and implementation - p. 201 20. Part IV: Operation and planning with uncertainties - p. 241 21. Chapter 8. Operation with multiple dimensional uncertainties - p. 245 22. Chapter 9. Data-driven methods for flexible distribution networks operation - p. 269 23. Abstract - p. 269 24. 9.1 Introduction - p. 269 25. 9.2 Model-free adaptive control of flexible distribution networks based on multiple data - p. 270 26. 9.3 Deep reinforcement learning-based adaptive control of flexible distribution networks - p. 283 27. 9.4 Adaptive coordinated control of flexible distribution network considering incomplete measurements - p. 294 28. 9.5 Data-driven adaptive predictive control of distributed energy storage - p. 312 29. 9.6 Prospect for data-physical hybrid-driven adaptive control - p. 323 30. 9.7 Summary - p. 324 31. References - p. 324 32. Chapter 10. Planning and design of flexible distribution networks - p. 327 33. Appendix A. Data for the IEEE 33-node distribution system - p. 367 34. Appendix B. Data for the PG&E 69-node distribution system - p. 369 35. Appendix C. Data for the IEEE 123-node three-phase balanced distribution system - p. 374 36. Appendix D. Data for the distribution system with four-terminal SOP - p. 379 37. Appendix E. Data for the TPC distribution system - p. 383 38. Appendix F. Data for the FS-based distribution network with data centers - p. 389 39. Index - p. 391

Descripcion
Descripción

Flexible Distribution Networks facilitates the enhanced flexibility, efficiency and reliability of distribution networks under complex operating environments delivered by high DG penetration. Considering the high share of DG and flexibility improvement brought by SOP-type power electronic devices, the work aims to solve the issues of optimal operation of flexible distribution networks. Technical solutions for flexible operation problems of FDN are discussed in depth, including efficient analytical methods with high penetration of DG, SOP-based optimal operation methods with uncertainty, and high-performance convex optimization algorithms.

Readers will develop sound knowledge and gain insights into the optimal operation of FDN with high penetration of DG.

  • Provides efficient operation analysis methods for FDN with high penetration of distributed generators
  • Proposes measurement-based network estimation methods to improve the observability of network states
  • Develops SOP-based optimal operation methods to facilitate the flexible operation of FDN under complex and uncertain environments
  • Expounds local control frameworks to realize the rapid and effective implementation of flexible operation strategies
  • Reviews high-performance convex optimization methods to realize the efficient solving of optimal operation problems in FDN

1. Chapter 1. Introduction - p. 3 2. Part II: Modeling and analytical calculation - p. 10 3. Chapter 2. Components and modeling of flexible distribution networks - p. 13 4. Abstract - p. 13 5. 2.1 Introduction - p. 13 6. 2.2 Modeling of conventional distribution devices - p. 14 7. 2.3 Modeling of distributed energy resources - p. 19 8. 2.4 Modeling of flexible distribution devices - p. 26 9. 2.5 State estimation of flexible distribution network - p. 30 10. 2.6 Power flow calculation of flexible distribution networks based on modified augmented nodal analysis - p. 52 11. 2.7 Network hosting capacity assessment of distributed generator - p. 59 12. 2.8 Summary - p. 63 13. References - p. 63 14. Chapter 3. High-performance optimization algorithm - p. 65 15. Chapter 4. Quantified evaluation of operational flexibility - p. 87 16. Part III: Optimal operation and localized implementation - p. 125 17. Chapter 5. Optimal operation under complex environments - p. 129 18. Chapter 6. Supply restoration under fault condition - p. 167 19. Chapter 7. Localized operation and implementation - p. 201 20. Part IV: Operation and planning with uncertainties - p. 241 21. Chapter 8. Operation with multiple dimensional uncertainties - p. 245 22. Chapter 9. Data-driven methods for flexible distribution networks operation - p. 269 23. Abstract - p. 269 24. 9.1 Introduction - p. 269 25. 9.2 Model-free adaptive control of flexible distribution networks based on multiple data - p. 270 26. 9.3 Deep reinforcement learning-based adaptive control of flexible distribution networks - p. 283 27. 9.4 Adaptive coordinated control of flexible distribution network considering incomplete measurements - p. 294 28. 9.5 Data-driven adaptive predictive control of distributed energy storage - p. 312 29. 9.6 Prospect for data-physical hybrid-driven adaptive control - p. 323 30. 9.7 Summary - p. 324 31. References - p. 324 32. Chapter 10. Planning and design of flexible distribution networks - p. 327 33. Appendix A. Data for the IEEE 33-node distribution system - p. 367 34. Appendix B. Data for the PG&E 69-node distribution system - p. 369 35. Appendix C. Data for the IEEE 123-node three-phase balanced distribution system - p. 374 36. Appendix D. Data for the distribution system with four-terminal SOP - p. 379 37. Appendix E. Data for the TPC distribution system - p. 383 38. Appendix F. Data for the FS-based distribution network with data centers - p. 389 39. Index - p. 391

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