Power System Flexibility

1st Edition - September 1, 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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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.

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

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, China

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, China

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, China

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, USA

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, USA