Distributed Control and Optimization of Networked Microgrids

lt;b>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 of Automatica Sinica Norbert Wiener Review Award, The 2020 IEEE Systems, Man, and Cybernetics (SMC) Society Andrew P. Sage Best Transactions Paper Award, The 2020 IEEE Transactions on Industrial Informatics Outstanding Paper Award, and The 2019 IEEE SMC Society Andrew P. Sage Best Transactions Paper Award.
Professor Han is a Member of the Academia Europaea (The Academy of Europe). He is a Fellow of The Institute of Electrical and Electronic Engineers (IEEE) and a Fellow of The Institution of Engineers Australia. He is a Highly Cited Researcher in both Engineering and Computer Science (Clarivate Analytics). He has served as an AdCom Member of IEEE Industrial Electronics Society (IES), a Member of IEEE IES Fellow Committee, and Chair of IEEE IES Technical Committee on Networked Control Systems. He is Co-Editor-in-Chief of IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, Deputy Editor-in-Chief of IEEE/CAA JOURNAL OF AUTOMATICA SINICA, Co-Editor of Australian Journal of Electrical and Electronic Engineering, an Associate Editor for 12 international journals, including the IEEE TRANSACTIONS ON CYBERNETICS, IEEE INDUSTRIAL ELECTRONICS MAGAZINE, Control Engineering Practice, and Information Sciences, and a Guest Editor for 13 Special Issues.
Dr. Boda Ning received the B.Eng. degree in automatic control from East China University of Science and Technology, Shanghai, China, in 2011, the M.Sc. degree with Distinction in control systems from University of Manchester, Manchester, U

Chapter 1. Introduction.- Chapter 2. Network-Based Consensus of Multi-Agent Systems.- Chapter 3. Sampled-Data-Based Event-Triggered Consensus of Multi-Agent Systems.- Chapter 4. Distributed Event-triggered Secondary Control for Islanded Microgrids.- Chapter 5. Distributed Finite-Time Secondary Control for Islanded Microgrids.- Chapter 6. Distributed Resilient Finite-Time Secondary Control for Heterogeneous BESSs.- Chapter 7. Distributed Optimal Control of DC Microgrids with Communication Delays.- Chapter 8. ibuted Energy Management for Smart Grids.- Index.