Optimal Operation and Resilience Enhancement of Integrated Power and Transport Systems

By:   Shiwei Xie (Associate Professor School of Electrical Engineering and Automation Fuzhou University China), Qiuwei Wu (Professor, School of Electronics, Electrical Engineering, and Computer Science, Queen’s University Belfast, UK), Hongjie Jia (Professor, School of Electrical and Information Engineering, Tianjin University, China), Jin Tan (Technical University of Denmark, Denmark)
Imprint:   Elsevier - Health Sciences Division
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   450g
ISBN:   9780443336713
ISBN 10:   0443336717
Pages:   342
Publication Date:   19 September 2025
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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.