Cyber-Physical Virtual Power Plants: Modeling, Operation, and Control
Description
Cyber-physical Virtual Power Plants (VPPs), a revolutionary framework designed to harness the collective potential of distributed energy resources (DERs) via communication technologies, are crucial for integrating large of renewable generators into future energy grids securely and cost-effectively. This is the pioneering book that systematically explains and explores the operation and control of VPPs from a cyber-physical perspective. Born out of the authors' continuous research and engineering practice in the field of VPPs, this book lays the theoretical foundation for the topic and thoroughly presents straightforward solutions to the challenges encountered in cyber-physical VPPs. This book is a useful reference for researchers, graduates, and engineers interested in and working on VPPs, cyber-physical system designs, and Internet of Things applications.
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Dr. Cheng Feng obtained Ph.D. degree in the Department of Electrical Engineering at Tsinghua University in 2024. During February 2023 to August 2023, he has been a visiting scholar with Automatic Control Laboratory, ETH Zurich, Switzerland. His research interests include virtual power plants and cyber-physical systems in smart grids.
Dr. Hongye Guo is currently an assistant research professor in the Department of Electrical Engineering at Tsinghua University, and the director of the Energy Trading Platform Research Office at the Energy Internet Innovation Institute. He obtained his Ph.D. degree at Tsinghua University in 2020, after which he remained at the school for postdoctoral research. His research focuses on electricity markets, smart electricity use, and the integration of artificial intelligence with big data. Guo has received several awards, including the Second Prize for Scientific and Technological Progress from the Chinese Society for Electrical Engineering and the First Prize for Academic Innovation in Energy from the China Energy Research Society.
Dr. Kedi Zheng received the B.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2017 and 2022, respectively, where he is currently a research associate. He is also a visiting research associate with the University of Hong Kong. His research interests include virtual power plants, data analytics in power systems, and electricity markets.
Dr. Qixin Chen is a professor in the Department of Electrical Engineering at Tsinghua University, director of the International Division of Tsinghua University, and vice president of the Energy Internet Innovation Research Institute. He is mainly engaged in the teaching and research of power market, low carbon power technology, energy Internet, load forecasting, and big data technology. He was awarded the "Yangtze River Scholar" by the Ministry of Education, the "Outstanding Youth Fund" by the National Natural Science Foundation of China, and the "Young Top Talent Program" of the National Project of Ten Million Talents. He serves as an editorial board member of six academic journals, including IEEE TEMPR, IET ECE, Power System Automation, etc.
Prof. Chongqing Kang is a full professor, dean of the Department of Electrical Engineering at Tsinghua University, president of Tsinghua University Energy Internet Research Institute, and president of Tsinghua Sichuan Energy Internet Research Institute. He is a fellow of IEEE/IET/CSEE. Prof. Chongqing Kang's research interests include power system planning, power system optimization, energy Internet, renewable energy integration, low-carbon electricity technology, load forecasting, and the electricity market. Prof. Chongqing Kang has authored 7 monographs in both Chinese and English and has published over 600 papers, including more than 210 SCI-indexed papers (including over 120 IEEE Transactions papers) and over 460 EI-indexed papers. His papers have been cited over 32,000 times on Google Scholar, with an H-index of 91 and the highest citation count for a single paper exceeding 1100 times.
Content
1. Overview: VPP Structure and Physical Model.- 2. Unified Steady DER Model: Polytope and Projection.- 3. Unified Dynamic DER Model: Triggered Step Response.- 4. Individual DER Model Parameter Identification.- 5. Individual DER Model Shape Normalization.- Overview: Cyber-physical Coupling Considerations in VPP Operations.- Real Cases of Cyber-physical Coupling Effects in VPPs.- Cyber-physical VPP Aggregation and Disaggregation.- Cyber-physical VPP Operation with Network Effects.- Overview: Semantics and Coordinated Communication Control.- Minute-level Demand Response: Access Control for Reliability.- Second-level Frequency Support: Bandwidth Slicing for Latency.- Distributed Energy Sharing: Concurrency and Connectivity Control.- Decentralized P2P Trading: Communication Synchronization Control.