Power System Flexibility

Erscheinungsjahr 2023
ISBN: 978-0-323-99517-7
Verlag: Elsevier Science

Buch, Englisch, 225 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

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.

Zielgruppe

<p>Graduate students and early career researchers (1st year PhD+) working in power engineering, energy systems, control engineering, and renewable energy.</p> <p>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.</p>

Autoren/Hrsg.

Lu, Zongxiang

Li, Haibo

Qiao, Ying

Le, Xie

Singh, Chanan

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

Part 1: Concepts and Mathematics about Flexibility 1. Introduction to power system flexibility 2. Mathematical basis for flexibility modeling 3. Concepts and characteristics of power system flexibility 4. Flexibility Balancing Principle and Indices 5. Flexibility Assessment based on operational simulation 6. Flexibility Assessment Tool and Case Studies

Part 2: Incorporating Flexibility into Power System Analysis 7. Active Power Balance Control based on Flexibility Theory 8. Reactive Power Balance Control based on Flexibility Theory 9. Modeling Flexibility in Electric Power Market

Part 3: The optimal planning of power system flexibility resources 10. Introduction to power system flexibility planning 11. Coordinating planning of generation-grid-load-storage flexibility resources 12. Integrated planning of collection and delivery system for large scale new energy base 13. Collection and transmission flexibility planning for large offshore wind power base 14. Deployment and allocation of storage based on flexibility theory

Part 4: The optimal operation of power system flexibility resources 15. Introduction to power system flexibility operation 16. Virtual power generator based hierarchical schedule of wind power cluster 17. Multi-sources complementary operation considering grid constraints 18. Multi-temporal-spatial-scale flexibility to improve renewable accommodation 19. Flexible resource coordination on demand side

Part 5: Planning applications of flexibility theory 20. Planning projects of power system flexibility 21. Operation application of flexibility theory 22. The sector coupled flexibility resources

Über Autor(innen)

Li, Haibo
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).

Singh, Chanan
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

Lu, Zongxiang
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.

Le, Xie
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.

Qiao, Ying
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.