Smart Power Distribution Systems: Control, Communication, and Optimization explains how diverse technologies work to build and maintain smart grids around the globe. Yang, Yang and Li present the most recent advances in the control, communication and optimization of smart grids and provide unique insight into power system control, sensing and communication, and optimization technologies. The book covers control challenges for renewable energy and smart grids, communication in smart power systems, and optimization challenges in smart power system operations. Each area discussed focuses on the scientific innovations relating to the approaches, methods and algorithmic solutions presented.
Readers will develop sound knowledge and gain insights into the integration of renewable energy generation in smart power distribution systems.
- Presents the latest technological advances in electric power distribution networks, with a particular focus on methodologies, approaches and algorithms
- Provides insights into the most recent research and developments from expert contributors from across the world
- Presents a clear and methodical structure that guides the reader through discussion and analysis, providing unique insights and sound knowledge along the way
Part I: Modeling and control techniques in smart power distribution networks
Part III: Optimization models and techniques in smart power distribution networks
Dr. Qiang Yang obtained the BS degree (first class honors) in Electrical Engineering in 2001, and received the M.Sc. (with distinction) and Ph.D. degree both in Electronic Engineering and Computer Science from Queen Mary, University of London, London, U.K., in 2003 and 2007, respectively. He has worked as a Postdoctoral Research Associate at the Department of Electrical and Electronic Engineering, Imperial College London, U.K., from 2007 to 2010 and involved in a number of high-profile U.K. EPSRC and European IST research projects. Currently he is an Associate Professor at College of Electrical Engineering, Zhejiang University, China, and has published more than 100 technical papers, co-authored 2 books and holds 5 national patents. His research interests over the years include communication networks, smart energy systems, and large-scale complex network modeling, control, optimization, and simulation. He is the member of various international academic bodies including IEEE, IET and IEICE as well as the Senior Member of China Computer Federation (CCF).
Dr. Ting Yang is currently a Chair professor of Electrical Theory and Advanced Technology, at the School of Electrical Engineering and Automation, Tianjin University, China. He was the cooperative research staff of Imperial College London (2008); visiting professor of University of Sydney, Australia (2015). Prof. Yang is the winner of the "New Century Excellent Talents in University Award from Chinese Ministry of Education. He is the leader of tens of research grant projects, including the International S&T Cooperation Program of China, the National High-Tech Research and Development Program of China (863 Program), the National Natural Science Foundation of China, and so on. Prof. Yang is the chairman of two workshops of IEEE International Conference, and the editor in Chief of one of Special Issues of the international journal of DSN. He is the author/co-author of four books, more than one hundred publications in internationally refereed journals and conferences. Prof. Yang is a senior member of the Chinese Institute of Electronic, the fellow of Circuit and System committee, the fellow of Theory and Advanced Technology of Electrical Engineering, and the member of International Society for Industry and Applied Mathematics. His research fields include Smart Grid, advanced metering infrastructure, and information and communication technologies in electric power system.
Dr. Wei Li received his Ph.D. degree from the School of Information Technologies at The University of Sydney in 2012. He is currently a research fellow in the Centre for Distributed and High Performance Computing, and school of Information Technologies in The University of Sydney. His research is supported by Early Career Researcher (ECR) funding scheme and Clean energy and intelligent networks cluster funding scheme in The University of Sydney. His research interests include Internet of Things, wireless sensor network, task scheduling, resource management, optimization and nature-inspired algorithms. He is a member of IEEE and ACM.