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Elsevier

Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems

  • 1st Edition - September 16, 2025
  • Latest edition
  • Authors: Shiwei Xie, Qiuwei Wu, Hongjie Jia, Jin Tan
  • Language: English

Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems is a comprehensive guide designed to equip readers with the knowledge and tools necess… Read more

Description

Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems is a comprehensive guide designed to equip readers with the knowledge and tools necessary to navigate the complexities of modern energy and transport systems. Bridging the gap between foundational theories and cutting-edge applications, the book emphasizes actionable strategies for enhancing system performance and resilience. With a focus on sustainable solutions, it empowers professionals to address critical challenges in an era of increasing interdependence between power and transport infrastructures.

Beyond its foundational principles, the book delves into advanced methodologies, practical case studies, and innovative technologies. It serves as an indispensable resource for engineers, researchers, and policymakers, fostering a deeper understanding of system optimization.

Key features

  • Covers fundamental principles to real-world scenarios applicable in a wide range of geographies, jurisdictions, and infrastructures
  • Provides tools such as variational inequality, cooperative and non-cooperative game theory, and nested game models to respond to challenges from mixed demand uncertainties to extreme weather
  • Includes step-by-step calculations and access to a companion website hosting original MATLAB code for replication and application

Readership

Upper-level undergraduate and graduate students, academics, and researchers in energy systems, power engineering, and transport

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: September 16, 2025
  • Language: English

About the authors

SX

Shiwei Xie

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.

Affiliations and expertise
Associate Professor, School of Electrical Engineering and Automation, Fuzhou University, China

QW

Qiuwei Wu

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.

Affiliations and expertise
Professor, School of Electronics, Electrical Engineering, and Computer Science, Queen’s University Belfast, UK

HJ

Hongjie Jia

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.
Affiliations and expertise
Professor, School of Electrical and Information Engineering, Tianjin University, China

JT

Jin Tan

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.
Affiliations and expertise
Technical University of Denmark, Denmark

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