Power System Flexibility
- 1st Edition - September 14, 2023
- Authors: Zongxiang Lu, Haibo Li, Ying Qiao, Xie Le, Chanan Singh
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 5 1 7 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 5 1 8 - 4
Power System Flexibility provides a consolidated foundation in the design, planning, and operation of intermittent highly renewable power systems—integrating core theory, mathem… Read more
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Request a sales quotePower System Flexibility provides a consolidated foundation in the design, planning, and operation of intermittent highly renewable power systems—integrating core theory, mathematical analysis, and modern international applications in an unusually multidisciplinary approach. Opening with an expansive theoretical grounding in the definition, analysis, and modeling of power systems, the book demonstrates how to apply flexibility theory to critical problems involving intermittency and variability in power system planning and operation. The guide concludes with an international complement of case studies, demonstrating how flexibility theory has been applied to real-world projects of increasing complexity.
- Integrates underlying scientific foundations with modern methods in the planning and operation of flexible power systems
- Demonstrates how to design, plan, operationalize, and optimize flexible solutions across the full range of power generation, electrical grids, energy demand, and energy storage applications
- Includes an international complement of real-world case studies focusing on delivering flexibility in highly renewable electricity systems
Graduate students and early career researchers (1st year PhD+) working in power engineering, energy systems, control engineering, and renewable energy; Engineers, power plant staff, transmission system operators, network owners, manufacturers, consultants, and relevant workers in power system operations, electrical engineering and relevant fields. Power system economists
- Cover image
- Title page
- Table of Contents
- Copyright
- List of figures
- List of tables
- Part I: Concepts and mathematics about flexibility
- Chapter 1. Introduction to power system flexibility
- Abstract
- 1.1 Background of power system flexibility
- 1.2 Brief history and cutting edges
- References
- Chapter 2. Mathematical basis of stochastic process and stochastic programming
- Abstract
- 2.1 Probability and stochastic process
- 2.2 Criterion 2.1 Determination of stochastic process stationarity
- 2.3 Criterion 2.2 Determination of joint stochastic process stationarity
- 2.4 Stochastic programming theory
- 2.5 Programming models and common algorithms
- Chapter 3. Concepts and characteristics of power system flexibility
- Abstract
- 3.1 Introduction
- 3.2 Definitions and Characteristics of flexibility
- 3.3 Clarification with relative concepts
- Chapter 4. Flexibility balancing and indices
- Abstract
- 4.1 Flexibility demand and supply balancing
- 4.2 Quantitative evaluation indices of flexibility
- Chapter 5. Flexibility assessment based on operational simulation
- Abstract
- 5.1 Comparison with sequential and nonsequential operational simulation
- 5.2 Modeling flexibility resource in sequential/nonsequential simulation
- 5.3 Algorithms of solving model
- 5.4 Flexibility supply, demand, and margin assessment
- Chapter 6. Flexibility assessment tool and case studies
- Abstract
- 6.1 Software for flexibility evaluation and planning in power systems
- 6.2 Example analysis
- 6.3 Analysis of the plans and allocation of flexibility resource in Jiangsu province
- Part II: Incorporating flexibility into power system analysis
- Chapter 7. Active power balance control based on flexibility theory
- Abstract
- 7.1 Sequential relationship between power electronics and synchronous machines in the frequency process
- 7.2 Multilevel “unit-station-network” frequency-coordinated control system of renewable energy power systems
- 7.3 Co-optimization model for multigenerator integrated inertia and primary frequency modulation parameters
- 7.4 Optimized energy storage control for bidirectional coordination of frequency regulation capability and steady-state operation
- Chapter 8. Reactive power balance control based on flexibility theory
- Abstract
- 8.1 Multimodal dynamic voltage support technology for renewable energy converter set
- 8.2 Renewable energy hub swarm-controlled phase regulation technology
- Chapter 9. Modeling flexibility in electric power market
- Abstract
- 9.1 Strategies and cost estimation for flexibility equipment retrofits
- 9.2 Calculating additional operating costs of flexibility resources
- 9.3 Flexibility retrofit cost recovery
- References
- Part III: The optimal planning of power system flexibility resources
- Chapter 10. Introduction to power system flexibility planning
- Abstract
- Chapter 11. Coordinating planning of generation-grid-load-storage flexibility resources
- Abstract
- 11.1 Modeling of generation-grid-load-storage flexibility resources
- 11.2 Methodology of coordinating planning
- 11.3 Algorithms of solving model
- Chapter 12. Integrated planning of collection and delivery system for large-scale new energy base
- Abstract
- 12.1 Traditional planning methodology
- 12.2 Integrated planning frameworks
- 12.3 Multiple kV-leveled collection optimization of wind plant/PV station cluster
- 12.4 Reliability evenly planning
- 12.5 Operation assessment about coordinated planning
- Chapter 13. Collection and transmission planning for large offshore wind power base
- Abstract
- 13.1 Basics
- 13.2 Location optimization of offshore hub substation based on steepest descent method
- 13.3 Topology optimization of collection lines based on genetic algorithm
- 13.4 Equipment selection considering truncation risk of high wind Speed
- 13.5 Transmission optimization based on improved ant colony algorithm
- Chapter 14. Deployment and allocation of storage based on flexibility theory
- Abstract
- 14.1 Application scenario of grid-side storage
- 14.2 Evaluation indices of grid-side storage allocation
- 14.3 Deployment methodology and principle of grid-side storage
- 14.4 Deployment and allocation of supply-side storage
- 14.5 Storage deployment for improving wind power consumption
- 14.6 Stochastic programming and simulation of wind-storage combined plant
- 14.7 Optimal allocation method and evaluation of energy storage
- Part IV: The optimal operation of power system flexibility resources
- Chapter 15. Introduction to power system flexibility operation
- Abstract
- Chapter 16. Virtual power generator based hierarchical schedule of wind power cluster
- Abstract
- 16.1 Characteristics of hierarchical coordinate operation of virtual generator
- 16.2 Time-varying probabilistic model
- 16.3 Hierarchical day-ahead scheduling
- 16.4 Hierarchical real-time dispatching strategies
- Chapter 17. Multisources complementary operation considering grid constraints
- Abstract
- 17.1 Wide-area coordination of wind power and pumped storage
- 17.2 Wide-area coordination of wind power and battery storage
- 17.3 Optimal day-ahead scheduling of multisources considering power security
- Chapter 18. Multitemporal-spatial-scale flexibility to improve renewable energy accommodation
- Abstract
- 18.1 Quantitative factors of renewable energy accommodation
- 18.2 Online analysis of flexibility adequacy and renewables curtailment
- 18.3 Online evaluation for flexibility potential capability
- Chapter 19. Flexibility resource coordination on demand side
- Abstract
- 19.1 Demand-side flexibility
- 19.2 Top-down modeling according to demand response types
- 19.3 Bottom-up modeling based on computational geometry
- 19.4 System-level operation optimization model considering load flexibility
- Part V: Planning applications of flexibility theory
- Chapter 20. Planning projects of power system flexibility
- Abstract
- 20.1 Demo 1: allocation demonstration of multiple flexible resources
- 20.2 Demo 3: collection and delivery planning of offshore wind power bases
- 20.3 Demo 4: multitype energy storage allocation at the source side
- 20.4 Demo 5: demand-side flexible resource modeling
- Chapter 21. Operational application of flexibility theory
- Abstract
- 21.1 Demo 1: hierarchical optimal operation of renewable virtual generator
- 21.2 Demo 2: Multienergy complementary operation considering grid constraints
- 21.3 Demo 3: Accommodation technology based on flexibility
- 21.4 Demo 4: Flexible resource coordinate operation on demand side
- Chapter 22. The sector coupled flexibility resources
- Abstract
- 22.1 Power aggregation techniques for multiple power sources and characterization models for postaggregation integrated regulatory flexibility
- 22.2 Comprehensive long-term load balancing capability of multiple power sources and characterization methods
- 22.3 Short-term integrated regulation flexibility and characterization method postaggregation of multiple power sources
- 22.4 Summary
- Acronyms
- Index
- No. of pages: 382
- Language: English
- Edition: 1
- Published: September 14, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780323995177
- eBook ISBN: 9780323995184
ZL
Zongxiang Lu
Dr. Zongxiang Lu has been Associate Professor of the Electrical Engineering Department of Tsinghua University since 2005. He is a Fellow of IET, and the senior member of IEEE and CSEE. His research interests include large-scale wind power / PV stations integration analysis and control, wind power forecasting, energy and electricity strategy planning. He is the PI of more than 40 academic and industrial projects. He is also the author or co-author of 7 books, 26 international journal papers and 80 Chinese journal papers. He has received a second prize of National Science and Technology Progress Award in 2019, and 14 provincial level scientific research awards. His paper awards include Frontrunner 5000 Top Articles in Outstanding S&T Journals of China in 2018, 2014 and 2007, Outstanding Paper Award of China Science and Technology Journal in 2016, Outstanding Paper Award of China Society of Electrical Engineering in 2019, 2018 respectively.
Affiliations and expertise
Associate Professor, Electrical Engineering Department, Tsinghua University, ChinaHL
Haibo Li
Dr. Haibo Li has been Research Assistant of Tsinghua Sichuan Energy Internet Institute since 2017. He is now the deputy director of New Energy Power System Analysis and Optimization Research Center of Tsinghua Sichuan Energy Internet Institute. His research interests include large-scale wind power / PV stations integration power system flexibility planning and operation, offshore wind power. He is the PI of more than 10 academic and industrial projects. He is also the author /co-author of more than 20 international journal papers or Chinese journal papers. His paper awards include Frontrunner 5000 Top Articles in Outstanding S&T Journals of China in 2018, Outstanding Paper Award of China Society of Electrical Engineering in 2019, 2018 respectively. He is among the listees in China’s elite under 30 in 2020 From Forbes (Industry, Manufacturing, Energy and Environmental Protection).
Affiliations and expertise
Research Assistant, Tsinghua Sichuan Energy Internet Institute, ChinaYQ
Ying Qiao
Dr. Ying Qiao has been Associate Professor of the Electrical Engineering Department of Tsinghua University since 2015. Her research interests include renewable power system planning & operation, machine learning in power system. She is the PI of more than 10 academic and industrial projects. She is also the author or co-author of 4 books, 25 international journal papers and 44 Chinese journal papers.
Affiliations and expertise
Associate Professor, Electrical Engineering Department, Tsinghua University, ChinaXL
Xie Le
Xie Le is Professor and Chancellor EDGE fellow and assistant director of energy digitization at Texas A&M Energy Institute. His research interests include modeling and control of electric energy systems, integration of renewable variable energy resources, design and optimization of competitive power systems, and the theory and application of cyber-physical energy systems.
Affiliations and expertise
Professor Chancellor EDGE fellow; Assistant Director of Energy Digitization, A&M Energy Institute, Texas, USACS
Chanan Singh
Chanan Singh is University Distinguished Professor, Regents Professor & Irma Runyon Chair Professor at the Department of Electrical and Computer Engineering at Texas A&M University. His research interests include reliability and security of electric power systems, theory and applications of system reliability, integration of renewable energy sources, reliability of cyber-physical systems
Affiliations and expertise
University Distinguished Professor, Regents Professor and Irma Runyon Chair Professor, Department of Electrical and Computer Engineering, Texas A&M University, USARead Power System Flexibility on ScienceDirect