Limited Offer
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Flexible Distribution Networks
- 1st Edition - October 21, 2023
- Authors: Peng Li, Haoran Ji, Hao Yu, Chengshan Wang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 8 9 0 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 4 2 0 7 - 0
Flexible Distribution Networks facilitates the enhanced flexibility, efficiency and reliability of distribution networks under complex operating environments delivered by high DG p… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteFlexible 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
Researchers involved in distribution network. Researchers will gain detailed information of efficient operation analysis, optimal operation methods and high-performance optimization algorithms of FDN. Can also be used as textbook for advanced undergraduate and graduate teaching in electrical engineering
- Cover image
- Title page
- Table of Contents
- Copyright
- List of figures
- List of tables
- About the authors
- Preface
- 1 Part I: Background
- 2 Part II: Modeling and analytical calculation
- 3 Part III: Optimal operation and localized implementation
- 4 Part IV: Operation and planning with uncertainties
- Acknowledgments
- Nomenclature
- List of abbreviations
- List of sets
- List of indices
- List of variables
- List of parameters
- Part I: Background
- Chapter 1. Introduction
- Abstract
- 1.1 Development of distribution networks
- 1.2 Pathway to flexible distribution networks
- 1.3 Challenges and opportunities for flexible distribution network
- 1.4 Operation optimization of flexible distribution network
- 1.5 Self-healing control of flexible distribution network
- References
- Part II: Modeling and analytical calculation
- Chapter 2. Components and modeling of flexible distribution networks
- Abstract
- 2.1 Introduction
- 2.2 Modeling of conventional distribution devices
- 2.3 Modeling of distributed energy resources
- 2.4 Modeling of flexible distribution devices
- 2.5 State estimation of flexible distribution network
- 2.6 Power flow calculation of flexible distribution networks based on modified augmented nodal analysis
- 2.7 Network hosting capacity assessment of distributed generator
- 2.8 Summary
- References
- Chapter 3. High-performance optimization algorithm
- Abstract
- 3.1 Introduction
- 3.2 Convex relaxation for nonlinear programming problems
- 3.3 Second-order cone programming
- 3.4 Enhanced second-order cone programming-based approach
- 3.5 Semi-definite programming
- 3.6 Difference-of-convex programming
- 3.7 Case study
- 3.8 Summary
- References
- Chapter 4. Quantified evaluation of operational flexibility
- Abstract
- 4.1 Introduction
- 4.2 Generalized analysis framework of operational flexibility
- 4.3 Distribution locational marginal pricing-based pricing of operational flexibility
- 4.4 Visualization of operational flexibility
- 4.5 Summary
- References
- Part III: Optimal operation and localized implementation
- Chapter 5. Optimal operation under complex environments
- Abstract
- 5.1 Introduction
- 5.2 Coordinated voltage control
- 5.3 Multiple-feeder load balance
- 5.4 Optimal operation under unbalanced conditions
- 5.5 Demand response from data centers
- 5.6 Peer-to-peer electricity trading with soft open point
- 5.7 Summary
- References
- Chapter 6. Supply restoration under fault condition
- Abstract
- 6.1 Introduction
- 6.2 Load restoration ability based on soft open point
- 6.3 Fast supply restoration based on multiple soft open points
- 6.4 Multi-stage supply restoration with soft open point integration
- 6.5 Soft open point-based islanding partition with distributed generators and energy storage systems
- 6.6 Summary
- References
- Chapter 7. Localized operation and implementation
- Abstract
- 7.1 Introduction
- 7.2 Local control principles with a high share of distributed generator
- 7.3 Centralized parameter tuning of local control curve of distributed generator
- 7.4 Model predictive control-based parameter tuning of local control curve of distributed generators
- 7.5 Cloud-edge collaboration based local voltage control of distributed generators
- 7.6 Regional autonomy and collaboration with multiple soft open points
- 7.7 Summary
- References
- Part IV: Operation and planning with uncertainties
- Chapter 8. Operation with multiple dimensional uncertainties
- Abstract
- 8.1 Introduction
- 8.2 Modeling of multiple uncertainties
- 8.3 Robust optimization based on column-and-constraint generation algorithm
- 8.4 Chance-constrained programming
- 8.5 Distributionally robust optimization
- 8.6 Summary
- References
- Chapter 9. Data-driven methods for flexible distribution networks operation
- Abstract
- 9.1 Introduction
- 9.2 Model-free adaptive control of flexible distribution networks based on multiple data
- 9.3 Deep reinforcement learning-based adaptive control of flexible distribution networks
- 9.4 Adaptive coordinated control of flexible distribution network considering incomplete measurements
- 9.5 Data-driven adaptive predictive control of distributed energy storage
- 9.6 Prospect for data-physical hybrid-driven adaptive control
- 9.7 Summary
- References
- Chapter 10. Planning and design of flexible distribution networks
- Abstract
- 10.1 Introduction
- 10.2 Topology evolution with flexible distribution devices
- 10.3 Scenario generation considering multiple uncertainties
- 10.4 Optimal planning of soft open point
- 10.5 Multi-stage planning of soft open point integrated with energy storage
- 10.6 Coordinated planning of multiple resources in data center park
- 10.7 Summary
- References
- Appendix A. Data for the IEEE 33-node distribution system
- Appendix B. Data for the PG&E 69-node distribution system
- Appendix C. Data for the IEEE 123-node three-phase balanced distribution system
- Appendix D. Data for the distribution system with four-terminal SOP
- Appendix E. Data for the TPC distribution system
- Appendix F. Data for the FS-based distribution network with data centers
- Index
- No. of pages: 430
- Language: English
- Edition: 1
- Published: October 21, 2023
- Imprint: Elsevier
- Paperback ISBN: 9780128238905
- eBook ISBN: 9780128242070
PL
Peng Li
Dr. Peng Li is currently a professor at School of Electrical and Information Engineering, Tianjin University, China. His research interests include operation optimization of distribution networks and integrated energy systems, analysis and transient simulation of power system. He has published 41 academic articles as first author or corresponding author. Three articles are ranked “Highly Cited Paper” by the Essential Science Indicators; one article has been awarded the best paper in the IEEE Power Energy Society General Meeting. Dr. Peng Li holds 33 Chinese patents. He also co-authored 4 books. He has received more than 20 research grants with the accumulated fund over 20 million CNY (around USD 2.90 million). He is the assistant editor of Journal of Power and Energy Systems (JPES) and IET Energy Systems Integration, the young editorial board member for Proceedings of the Chinese Society for Electrical Engineering and Power System Protection and Control. He has served for the international conferences as session chair and dozens of Chinese and English journals as reviewer.Dr. Peng Li is currently a professor at School of Electrical and Information Engineering, Tianjin University, China. His research interests include operation optimization of distribution networks and integrated energy systems, analysis and transient simulation of power system. He has published 41 academic articles as first author or corresponding author. Three articles are ranked “Highly Cited Paper” by the Essential Science Indicators; one article has been awarded the best paper in the IEEE Power Energy Society General Meeting. Dr. Peng Li holds 33 Chinese patents. He also co-authored 4 books. He has received more than 20 research grants with the accumulated fund over 20 million CNY (around USD 2.90 million). He is the assistant editor of Journal of Power and Energy Systems (JPES) and IET Energy Systems Integration, the young editorial board member for Proceedings of the Chinese Society for Electrical Engineering and Power System Protection and Control. He has served for the international conferences as session chair and dozens of Chinese and English journals as reviewer.
Affiliations and expertise
Professor, School of Electrical and Information Engineering, Tianjin University, ChinaHJ
Haoran Ji
Dr. Haoran Ji received his Ph.D. degree from the School of Electrical and Information Engineering, Tianjin University, China in 2019. He is currently a postdoc fellow at Tianjin University. His research is supported by China Postdoctoral Innovative Research Funding Program (2019). His research interests include distributed generation systems and optimal operation of distribution networks. He is a member of IEEE and has served for IEEE Transactions on Smart Grid and Applied Energy as reviewer.
Affiliations and expertise
School of Electrical and Information Engineering, Tianjin University, ChinaHY
Hao Yu
Dr. Hao Yu received his B.S. and Ph.D. degrees in electrical engineering from Tianjin University, Tianjin, China, in 2010 and 2015, respectively. He is currently an Associate Professor with the School of Electrical and Information Engineering, Tianjin University. His research interests include the operation simulation, analysis and optimization of active distribution networks and integrated energy systems. He is a member of IEEE, and the Assistant Editor for IET Energy Systems Integration.
Affiliations and expertise
Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, ChinaCW
Chengshan Wang
Chengshan Wang received his B.Eng. M.Eng and Ph.D. degrees in electrical engineering from Tianjin University, Tianjin, China, in 1983, 1985 and 1991, respectively. He became a Full Professor with Tianjin University in 1996. He was a Visiting Scientist with Cornell University from 1994 to 1996 and as a Visiting Professor with Carnegie Mellon University from 2001 to 2002. He is the Chief Scientist of China 973 Project, “Research on the Key Issues of Distributed Generation Systems” from 2009 to 2013. His research interests include distribution system analysis and planning, distributed generation system and Microgrid, and power system security analysis. He was a recipient of the National Science Fund for Distinguished Young Scholars. He has published 5 books in related areas and has been committed to the compilation of several China National strategic reports.
Affiliations and expertise
Professsor in Electrical Engineering, Tianjin University, Tianjin, China