This book features state-of-the-art studies on distributed cooperative intelligence techniques in design and implementation of resilient and cooperative control algorithms for microgrids. In order to identify the influence of communication constraints on the reliability and stability operation of microgrids, local controls of an unavailable state signal are calculated in a distributed and cooperative matter according to merely invoked cyber messages. Then, the recent developments in the communication constraints of distributed controlled microgrids are discussed.
Specifically, the communication constraints (e.g., time-varying network topology, communication delay, noise disturbance, uncertainties of communication links) on the operation of the distributed controllers and the possible challenges are presented and compared. The selected works can help promote development of ICT and renewable energy technology towardsinterconnectivity, resource sharing, flexibility and high efficiency. Researchers and engineers in the field of electrical engineering and communication engineering can benefit from the book.
Table of Contents:
Introduction.- Communication Constraints of Distributed Cooperative Intelligence in Microgrid Control.- Distributed Cooperative Control for AC Microgrids with Input Delay.- Distributed Dynamic-Topology-Tolerant Control for AC Microgrids with Communication Delay.- Distributed Optimal Control for AC Microgrids with Additive Stochastic Noises.- Distributed Voltage Control for DC Microgrids with Multiplicative Noises.- Distributed Event-triggered Control for DC Microgrids with Limited Communication Bandwidth.- Distributed Voltage and Frequency Control for AC Microgrids with Uncertainty Communication Links.
About the Author :
Jingang Lai (Senior Member, IEEE) received the Ph.D. degree in control science and engineering from Wuhan University, Wuhan, China, in 2016. In 2015, he was a Joint Ph.D. Student with the School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, Australia, where he was a Research Fellow and an Honorary Principal Research Fellow with the School of Engineering. From 2019 to 2021, he was a Humboldt Research Fellow and a Guest Professor with the E.ON Energy Research Center, RWTH Aachen University, Aachen, Germany.
He is currently a full Professor with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology. His research interests include brain-inspired intelligence and swarm intelligence for microgrids, distributed renewable energy systems, and cyber-physical-social systems.
Xiaoqing Lu (Senior Member, IEEE) received the Ph.D. degree in applied mathematics from Wuhan University, Wuhan, China, in 2012. From 2015 to 2019, she was a Research Fellow with the School of Engineering, RMIT University, Melbourne, VIC, Australia.
She is currently a full Professor with the School of Electrical Engineering and Automation, Wuhan University. Her research interests include distributed control, monitoring, and security in cyber-physical systems; and cooperation and optimization in smart microgrids and multi-robot systems.
