- Built Environment
- Computing and Networks
- Control, Robotics and Sensors
- Electrical Regulations
- Electromagnetics and Radar
- Energy Engineering
- Healthcare Technologies
- History and Management of Technology
- IET Codes and Guidance
- Manufacturing
- Materials, Circuits and Devices
- Model Forms
- Security
- Telecommunications
- Transportation
Preorder
Expected by: 01 July 2024
AI for Power Electronics and Renewable Energy Systems
by Frede Blaabjerg, Weihao Hu, Gouzhou Zhang, Zhenyuan Zhang, Sayed Abulanwar
Rising shares of renewable energy are needed to stave off catastrophic climate change, but also bring about the challenge of intermittency, jeopardizing power quality. Instead of large central generation units, many distributed generators and loads need to be managed in order to integrate renewable energy with power systems.
Artificial intelligence (AI) can meet this challenge with adaptive control and demand side management. When managing distributed and changing network components, AI can give control computers human-level performance, helping to solve key issues with intermittency, power quality and distributed generation and loads including EV. Use of AI for power systems has therefore become a research hotspot.
This reference book systematically treats the applications of AI in power electronics and renewable energy systems. The book begins with an introduction to AI in power systems, then subsequent chapters cover the use of AI for electric machine fault diagnosis, for power electronic reliability, design, and control, in dual-active-bridge converters; AI for distribution network voltage control, signal stability control, and energy management of hybrid systems as well as for renewable energy systems with AI. The book ends with conclusions and an outlook for AI in power systems. Numerous worked examples throughout the text help readers understand the operating and controlling guidelines.
Written by a team of well-known scientists and power system experts, AI for Power Electronics and Renewable Energy Systems is a valuable resource for researchers and PhD students, as well as experts in industry and utilities involved with electric power systems.
About the Author
Frede Blaabjerg is full professor at the Faculty of Engineering and Science of Aalborg University, Denmark. He has authored more than 800 journal papers in power electronics and its applications, he is co-author of six monographs and editor of fifteen books. He has received 40 IEEE paper awards, and numerous distinguished international research awards. He has been the President of the IEEE Power Electronics Society.
Weihao Hu is a full professor with the School of Mechanical and Electrical Engineering at the University of Electronic Science and Technology of China. He has participated in several national and international research projects and authored more than 200 publications in his technical field, which has been cited over 8000 times. His research interests include intelligent energy systems and renewable power generation. Dr Hu is an IET fellow and a senior member of IEEE.
Guozhou Zhang is a lecturer at College of Engineering and Technology, Southwest University, China. He received the PhD degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2022. He has published more than 30 peer-reviewed journal papers. His research interests include energy management, reinforcement learning, wind farm control, distributed energy systems, power stability, and energy storage control.
Zhenyuan Zhang is a professor with the School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China. Since 2010, he has been the project associate for the IEEE/NFPA Arc Flash Research Project. A senior member of IEEE, his research interests include power system analysis and power system optimization, but he has also been involved in smart grids, renewable energy, electrical safety analysis, arc flash analysis, and power market research.
Sayed Abulanwar is an associate professor at Electrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt. Dr Abulanwar is senior member of IEEE. He serves as associate editor for IET Renewable Power Generation and Alexandria Engineering Journal. He served as guest editor for special issues, IET Renewable Power Generation and Frontiers in Energy Research. His research interest include hybrid AC/DC microgrids, intelligent energy systems, protection of AC and DC systems, and grid-connected converters.
Publication Year: 2024
Pages: 346
ISBN-13: 978-1-83953-774-5
Format: HBK