Coordinated Energy Management for Low-Carbon Power Systems
Description
This book provides systematical exhibitions of grabbing coordination opportunities for energy management in low-carbon power systems in terms of the transmission level, distribution level, and interactions with heterogeneous energy flows. Particularly, this book focuses on coordinated energy management for low-carbon power systems from a resource aggregation perspective which can be plug-and-play in practice with higher effectiveness. This book starts with introducing resource aggregation techniques with specific attention to the transmission level, distribution level, and interactions with heterogeneous energy flows. Moreover, this book incorporates renewable uncertainties into the previous resource aggregation techniques for comparison and further discussions. After that, this book introduces various applications in the operations and planning of low-carbon power systems. This book is intended for graduate students, researchers, and professionals who are interested in energy management of low-carbon power systems, and can also be offered as an encouragement to operators and engineers to employ this coordinated kind of energy management techniques.
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Persons
Dr. Wei Lin received his B.E. and Ph.D. degrees from Chongqing University, China, in 2016 and 2021, respectively. He was a visiting scholar at the University of Connecticut, from 2019 to 2020. From 2021 to 2024, he served as a postdoctoral fellow at the University of Hong Kong, the Hong Kong Polytechnic University and the Chinese University of Hong Kong. He is currently an Associate Professor at Chongqing University. He is an Associate Editor for IET Renewable Power Generation. His research interests include operation research in interconnected energy networks, trustworthy AI techniques in energy, and energy markets.
Prof. Juan Yu received her B.E. and Ph.D. degrees from Chongqing University, China, in 2002 and 2007, respectively. She was a research associate at the Hong Kong Polytechnic Universityfrom September 2006 to September 2007. From April 2011 to April 2012, she was a visiting scholar at the University of Iowa. She is currently a professor at Chongqing University and serving as a deputy director of the Center for Electric Power and Energy Reliability Research at Chongqing University. She is mainly engaged in deep learning and big data technology applications, risk assessment, and control of electric power and energy systems. She hosted and participated in more than 40 scientific research projects and published more than 100 papers. She used to serve as a chairman of the Task Force on Reliability Assessment of IEEE PES, and a chairman of the IEEE PES Chongqing chapter.
Dr. Suhan Zhang received his B.E. and Ph.D. degrees from North China Electric Power University and Southeast University, China, in 2018 and 2023, respectively. He was a visiting Ph.D. research at the University of Birmingham, from January 2022 to January 2023, and a postdoctoral fellow at The Hong Kong Polytechnic University. He currently works as a research associate at University of Sheffield. His research interests include modeling, simulation and analysis of cyber-physical multi-energy system, power system security, and differential equations. He has published more than 30 SCI-indexed papers and granted over 10 patents, including one ESI highly-cited paper and one U.S. patent. He serves as the skeleton members in various projects (e.g., NSF for distinguished young scholars, NSF R&D projects). He was invited as the committee members/forum speakers in various top-tier conferences. He is the Associate Editor of IET Smart Grid and Protection and Control of Modern Power Systems, and the invited keynote speaker of the IEEE Power and Energy Society Working Group on Test Systems for Economic Analysis.
Content
Introduction.- Resource Aggregation Techniques for Low-carbon Power Systems at the Transmission Level.- Resource Aggregation Techniques for Low-carbon Power Systems at the Distribution Level.- Resource Aggregation Techniques for Low-carbon Power Systems Interacted with Heterogeneous Energy Flows.- Resource Aggregation under Renewable Uncertainties.- Applications in the Operations and Planning of Low-carbon Power Systems.