Power System Flexibility

Zongxiang Lu (Associate Professor, Electrical Engineering Department, Tsinghua University, China),Haibo Li (Research Assistant, Tsinghua Sichuan Energy Internet Institute, China),Ying Qiao (Associate Professor, Electrical Engineering Department, Tsinghua University, China),Xie Le (Professor Chancellor EDGE fellow; Assistant Director of Energy Digitization, A&M Energy Institute, Texas, USA),Chanan Singh (University Distinguished Professor, Regents Professor and Irma Runyon Chair Professor, Department of Electrical and Computer Engineering, Texas A&M University, USA)

Power System Flexibility
Format
Paperback
Publisher
Elsevier Science & Technology
Country
United Kingdom
Published
17 March 2023
Pages
225
ISBN
9780323995177

Power System Flexibility

Zongxiang Lu (Associate Professor, Electrical Engineering Department, Tsinghua University, China),Haibo Li (Research Assistant, Tsinghua Sichuan Energy Internet Institute, China),Ying Qiao (Associate Professor, Electrical Engineering Department, Tsinghua University, China),Xie Le (Professor Chancellor EDGE fellow; Assistant Director of Energy Digitization, A&M Energy Institute, Texas, USA),Chanan Singh (University Distinguished Professor, Regents Professor and Irma Runyon Chair Professor, Department of Electrical and Computer Engineering, Texas A&M University, USA)

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.

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