Power System Flexibility
- 1st Edition - September 14, 2023
- Latest edition
- Authors: Zongxiang Lu, Haibo Li, Ying Qiao, Xie Le, Chanan Singh
- Language: English
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
Power 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
Concepts and Mathematics about Flexibility
Introduction to power system flexibility
1.1 Backgrounds of power system flexibility
1.2 Brief history & Cutting Edges
1.3 The necessity to consider flexibility in power system with high share of renewable energy
1.4 The relation among chapters in this book
Mathematical basis for flexibility modeling
2.1 Probability and stochastic process
2.2 Stochastic programming theory
2.3 Programming modeling and common algorithms
2.4 Mathematical optimization theory
Concepts and characteristics of power system flexibility
3.1 Definitions
3.2 Characteristics of flexibility
3.3 Clarification with relative concepts
Flexibility Balancing Principle and Indices
4.1 Demand, supply, and adequacy of flexibility
4.2 Flexibility demand & supply balancing
4.3 Criterion of operation flexibility balance
4.4 Criterion of planning flexibility balance
4.5 Quantitative evaluation indices of flexibility
Flexibility Assessment based on operational simulation
5.1 Comparison with sequential and non-sequential operational simulation
5.2 Modeling flexibility resource in sequential/non sequential simulation
5.3 Flexibility assessment method based on production simulation
Flexibility Assessment Tool and Case Studies
6.1 Power system production simulation with renewable energy integration
6.2 Introduction to flexibility assessment tool
6.3 Case studies for the application of flexibility assessment tool
References
Incorporating Flexibility into Power System Analysis
Active Power Balance Control based on Flexibility Theory
7.1 Flexibility supply of various flexibility resources in the perspective of active power
7.2 Frequency control method considering flexibility balance constraints
7.3 Unit commitment modeling considering flexibility balance constraints
7.4 Economic dispatch modeling considering flexibility balance constraints
Reactive Power Balance Control based on Flexibility Theory
8.1 Flexibility supply of various flexibility resources in the perspective of reactive power
8.2 The flexibility balance modeling for reactive power
8.3 Reactive power control considering flexibility balance constraints
Modeling Flexibility in Electric Power Market
9.1 Electric power market modeling for generation side flexibility
9.2 Electric power market modeling for grid side flexibility
9.3 Electric power market modeling for demand side flexibility
9.4 Electric power market modeling for storage side flexibility
References
The optimal planning of power system flexibility resources
Introduction to power system flexibility planning
10.1 Background: The necessity to incorporate flexibility into power system planning
10.2 The main flexible resources considered in planning stage
10.3 The main flexibility planning methods at present
Coordinating planning of generation-grid-load-storage flexibility resources
11.1 Modeling of generation-grid-load-storage flexibility resources
11.2 Methodology of coordinating planning
11.3 Algorithms of solving flexibility planning model
Integrated planning of collection and delivery system for large scale new energy base
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 coordinate planning
Collection and transmission flexibility planning for large offshore wind power base
13.1 The impact of transmission planning on flexibility and wind power curtailment
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 considering flexibility improving
Deployment & allocation of storage based on flexibility theory
14.1 Application scenario of storage in generation, grid and demand side
14.2 Storage deployment for improving power system flexibility in different scenario
14.3 Stochastic programming and simulation of storage planning
14.4 Optimal allocation method and evaluation of energy storage
References
The optimal operation of power system flexibility resources
Introduction to power system flexibility operation
15.1 Background: The necessity to incorporate flexibility into power system operation
15.2 The main flexible resources considered in operation stage
15.3 The main optimal operation methods of power system flexibility resources at present
Virtual power generator based hierarchical schedule of wind power cluster
16.1 Characteristics of hierarchical coordinate operation of virtual generator
16.2 Time-varying probabilistic model
16.3 Hierarchical day-ahead schedule
16.4 Hierarchical real-time dispatching strategies
Multi-sources complementary operation considering grid constraints
17.1 Wide area coordination of wind power and pumped storage
17.2 Wide area coordination of wind power and battery storages
17.3 Optimal day ahead scheduling of multi-sources considering power security
Multi-temporal-spatial-scale flexibility to improve renewable accommodation
18.1 Quantitative factors of renewable accommodation
18.2 Online analysis of flexibility adequacy and renewable abandon
18.3 Online evaluation for flexibility potential capability
Flexible resource coordination on demand side
19.1 Demand side flexible resource modeling (Storage, EVs, etc.)
19.2 Coordination optimal model of flexible resources on demand side
19.3 Case studies of demand side flexibility planning
References
Planning applications of flexibility theory
Planning projects of power system flexibility
20.1 Demo 1: Allocation demonstration of multiple flexible resources
20.2 Demo 2: Collection and delivery planning of onshore renewable base
20.3 Demo 3: Collection and delivery planning of offshore wind power bases
20.4 Demo 4: Multi-type energy storage allocation at source side
20.5 Demo 5: Multi-type energy storage allocation at grid side
20.6 Demo 6: Source grid coordinate planning case
Operation application of flexibility theory
21.1 Demo 7: Hierarchical optimal operation of renewable virtual generator
21.2 Demo 8: Multi energy complementary operation considering grid constraints
21.3 Demo 9: Accommodation technology based on flexibility
21.4 Demo 10: Generation planning and renewable accommodation evaluation system
21.5 Demo 11: Flexible resource coordinate operation on demand side
The sector coupled flexibility resources
22.1 Demo 12: Flexibility from integrated energy system (gas and heat)
22.2 Demo 13: Flexibility from EVs and demand response
References
- Edition: 1
- Latest edition
- Published: September 14, 2023
- Language: English
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