Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems

Erscheinungsjahr 2025
ISBN: 978-0-443-33671-3
Verlag: Elsevier Science

Buch, Englisch, 300 Seiten, Format (B × H): 152 mm x 229 mm

Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems is a practical guidebook that builds your skills from fundamental principles to advanced applications, using actionable tools. This book supports a solid foundation in the principles of integrated power and transport, breaking down basic system structures, the fundamentals of key techniques such as game theory and variational inequality, and their function in optimization and resilience. Part II ensures the reader has a clear understanding of the design of such systems and key considerations from essential needs to the challenges of expansion, while parts III and IV outline the opportunities offered by cooperative and non-cooperative game theory. Special challenges are covered in part V, focusing on the major disruptions of adverse weather events and unpredictable demand. Providing a broad range of replicable and amendable methods, Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems supports readers in taking practical steps to improve resilience, sustainability, and responsive in integrated transport and energy systems.

Autoren/Hrsg.

Wu, Qiuwei

Xie, Shiwei

Jia, Hongjie

Tan, Jin

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Part I: Fundamentals
1. Introduction to Integrated Power and Transport Systems
2. Game Theory
3. Variational Inequality
4. Resilience of Integrated Power and Transport Systems

Part II: Design and Planning
5. Design and Planning of Integrated Power and Transport Systems
6. Robust Expansion Planning Model for Integrated Power and Transport Systems Considering Multiple Uncertainties

Part III: Optimal Operation under Non-Cooperative Game Theory
7. On Static Network Equilibrium of Integrated Power and Transport Systems: A Variational Inequality Approach
8. On Dynamic Network Equilibrium of Integrated Power and Transport Systems: A Differential Variational Inequality Approach
9. Nested Game Model for Integrated Power and Transport Systems Considering Demand Elasticity: A Quasi-Variational Inequality Approach

Part IV: Optimal Operation under Cooperative Game Theory
10. Collaborative Pricing in Integrated Power and Transport Systems: From Network Equilibrium to System Optimum
11. Decentralized Optimization of Multi-Area Integrated Power and Transport Systems Based on Variational Inequality
12. Robust Optimal Operation of Integrated Power and Transport Systems Considering Mixed Demand Uncertainties

Part V: Resilience Enhancement
13. Resilience Enhancement Strategies of Integrated Power and Transport Systems against Extreme Weather Events
14. Dynamic Load Restoration for Integrated Power and Transport Systems with Uncertain Travel Demands

Über Autor(innen)

Xie, Shiwei
Shiwei Xie is currently a tenured Associate Professor with the School of Electrical Engineering and Automation of Fuzhou University, China. From 2019 to 2020, he was a Research Assistant with the School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore. His research interests include variational inequality theory, distributed optimization, robust optimization, and their applications in power and transportation systems.

Tan, Jin
Jin Tan received her Ph.D. degree in Electrical Engineering from the Technical University of Denmark, Denmark, in 2022, following a MSc at the Department of Electrical Engineering, Wuhan University, China (2018). Her research interests include the optimal operation of integrated electricity and heating system and renewable energy integration.

Jia, Hongjie
Hongjie Jia is currently a Professor in the School of Electrical and Information Engineering at Tianjin University, China. His research interests include power reliability assessment, stability analysis and control, distribution network planning and automation, and integrated energy systems.

Wu, Qiuwei
Qiuwei Wu received the PhD degree in Electrical Engineering from Nanyang Technological University, Singapore, in 2009. He is a professor with the School of Electronics, Electrical Engineering, and Computer Science (EEECS), Queen's University Belfast, the UK. His research interests are distributed optimal operation and control of low carbon power and energy systems, including distributed optimal control of wind power, optimal operation of active distribution networks, and optimal operation and planning of integrated energy systems.