Power System Flexibility (Paperback)

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

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.

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).

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.

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.

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