Control Methods and Hardware-in-the-Loop Technologies of Distributed Resources in Modern Power Systems
Description
This book investigates the control of distributed resources in modern power systems in detail. It assesses distributed resources potential to enhance the security of modern power systems through demand response (DR). The most important feature of this book is the comprehensive coverage of centralized and distributed control methods, along with hardware-in-the-loop (HIL) technologies for DR. The topic has drawn attention from engineers and scientists across many fields, including power system, electrical, control, and thermodynamics engineering. The book takes a holistic approach. It builds a clear framework for distributed resources, highlighting integrated analysis and coordinated optimization in system design and control. It also connects theoretical algorithms with practical validation and application. The book is intended for undergraduate and graduate students interested in modern power systems, for researchers studying modeling, control, or HIL for frequency, voltage, and power regulation, and for industry professionals working on demand response applications.
More details
Persons
Hongxun Hui received the B.E. and Ph.D. degrees in Electrical Engineering from Zhejiang University, Hangzhou, China, in 2015 and 2020, respectively. From 2018 to 2019, he was a visiting scholar with the Advanced Research Institute, Virginia Tech, and the CURENT Centre, University of Tennessee. He is currently an assistant professor with the State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao SAR, China. His research interests include energy system optimization, power economics, carbon markets, and interdisciplinary energy-environment systems.
Lunshu Chen is a joint Ph.D. student in Electrical and Computer Engineering at University of Macau and Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. His research focuses on the low-carbon buildings in power systems and centralized/distributed Model Predictive Control for dispatching large-scale distributed resources.
Tong Wu received the B.E. and M.S. degrees in Electrical and Computer Engineering at University of Macau, in 2021 and 2023, respectively. He is currently a researcher at Zhuhai University of Macau Science & Technology Research Institute as assistant researcher. His research interests include the distributed control and hardware-in-the-loop technologies for dispatching large-scale distributed resources.
Jiatu Hong received the Ph.D. degree in Electrical and Computer Engineering at University of Macau, in 2023. He is currently a Lecturer at the School of Electrical and Electronic Engineering, Wenzhou University. His research interests include distributed consensus control of large-scale distributed resources.
Yonghua Song received the B.E. degree from Chengdu University of Science and Technology, Chengdu, China, in 1984, and the Ph.D. degree from China Electric Power Research Institute, Beijing, China, in 1989, both in Electrical Engineering. From 1989 to 1991, he was a postdoctoral fellow with Tsinghua University, Beijing, China. He then held various positions with Bristol University, Bristol, U.K.; Bath University, Bath, U.K.; John Moores University, Liverpool, U.K., from 1991 to 1996. In 1997, he was a professor of Power Systems with Brunel University, where he served as a Pro-Vice chancellor for Graduate Studies since 2004. In 2007, he took up a Pro-Vice Chancellorship and Professorship of Electrical Engineering at the University of Liverpool, Liverpool. In 2009, he was with Tsinghua University as a professor of Electrical Engineering and an assistant president and the deputy director with the Laboratory of Low-Carbon Energy. From November 2012 to December 2017, he served as Executive Vice President and a professor at Zhejiang University. From January 2018, he has been the Rector and a chair professor at University of Macau, Macao SAR, China.
Content
Overview.- Building to Grid.