Overview

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.

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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. 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. 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. 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.

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