Springer Distributed Control and Optimization of Networked Microgrids: A Multi-Agent System Based Approach (Power Systems)

Product Description This book presents new techniques and methods for distributed control and optimization of networked microgrids.  Distributed consensus issues under network-based and event-triggered mechanisms are first addressed in a multi-agent system framework, which can explicitly characterize the relationship between communication resources and the control performance. Then, considering the effects of network uncertainties, multi-agent system-based distributed schemes are tailored to solve the fundamental issues of networked microgrids such as distributed frequency regulation, voltage regulation, active power sharing/load sharing, and energy management.  The monograph will contribute to stimulating extensive interest of researchers in electrical and control fields. From the Back Cover This book presents new techniques and methods for distributed control and optimization of networked microgrids.  Distributed consensus issues under network-based and event-triggered mechanisms are first addressed in a multi-agent system framework, which can explicitly characterize the relationship between communication resources and the control performance. Then, considering the effects of network uncertainties, multi-agent system-based distributed schemes are tailored to solve the fundamental issues of networked microgrids such as distributed frequency regulation, voltage regulation, active power sharing/load sharing, and energy management.  The monograph will contribute to stimulating extensive interest of researchers in electrical and control fields. About the Author Professor Lei Ding received the B.Sc. degree in Automation, and the M.Sc. and Ph.D. degrees in Control Theory and Control Engineering from the Dalian Maritime University, Dalian, China, in 2007, 2009, and 2014, respectively. From 2010 to 2012, he was a Visiting Ph.D. Student sponsored by China Scholarship Council at the Centre for Intelligent and Networked Systems, Central Queensland University, Australia. From 2015 to 2016, he was a Visiting Research Fellow at Western Sydney University, Australia. From 2016 to 2017, he was a Postdoctoral Associate at Wayne State University, USA. From 2017 to 2019, he worked as a Research Fellow at Swinburne University of Technology, Australia. He is currently a Full Professor at the Nanjing University of Posts and Telecommunications Nanjing, China.  Professor Ding was the recipient of The 2021 IEEE/CAA Journal of Automatica Sinica Norbert Wiener Review Award, The 2020 IEEE Transactions on Industrial Informatics Outstanding Paper Award, and The 2019 IEEE SMC Society Andrew P. Sage Best Transactions Paper Award. He was awarded as Jiangsu Specially appointed Professor by Jiangsu Education Department, China, and the Dingxin Scholar by Nanjing University of Posts and Telecommunications, China. He is an Early Career Advisory Board Member of Control Engineering Practice and IEEE/CAA Journal of Automatica Sinica. He served as a Guest Editor of Control Engineering Practice and IEEE Transactions on System, Man, and Cybernetics: Systems, and Information Sciences. He is the Senior Member of IEEE. Professor Qing-Long Han is Pro Vice-Chancellor (Research Quality) and a Distinguished Professor at Swinburne University of Technology, Melbourne, Australia. He held various academic and management positions at Griffith University and Central Queensland University, Australia. He received the Ph.D. degree in Control Engineering from East China University of Science and Technology in 1997. His research interests include networked control systems, multi-agent systems, time-delay systems, smart grids, unmanned surface vehicles, and neural networks. Professor Han was the recipient of The 2021 Norbert Wiener Award (the Highest Award in systems science and engineering, and cybernetics), The 2021 M. A. Sargent Medal (the Highest Award of the Electrical College Board of Engineers Australia), The 2021 IEEE/CAA Journal o