This book brings together emerging objectives and paradigms in the control of both AC and DC microgrids; further, it facilitates the integration of renewable-energy and distribution systems through localization of generation, storage and consumption. The control objectives in a microgrid are addressed through the hierarchical control structure. After providing a comprehensive survey on the state of the art in microgrid control, the book goes on to address the most recent control schemes for both AC and DC microgrids, which are based on the distributed cooperative control of multi-agent systems. The cooperative control structure discussed distributes the co-ordination and optimization tasks across all distributed generators. This does away with the need for a central controller, and the control system will not collapse in response to the outage of a single unit. This avoids adverse effects on system flexibility and configurability, as well as the reliabilityconcerns in connection with single points of failure that arise in traditional, centralized microgrid control schemes.
Rigorous proofs develop each control methodology covered in the book, and simulation examples are provided to justify all of the proposed algorithms. Given its extensive yet self-contained content, the book offers a comprehensive source of information for graduate students, academic researchers, and practicing engineers working in the field of microgrid control and optimization.

Provides academic and practicing readers with a comprehensive survey of the control of microgrids Shows the reader how distributed control can provide greater flexibility, configurability and reliability in microgrid power systems Covers generation, storage and consumption in both DC and AC microgrids Includes supplementary material: sn.pub/extras

Autorentext
Ali Bidram received his Ph.D. degree from the University of Texas at Arlington in 2014. In his PhD, he was working on the distributed control of AC microgrids. Currently, he is a principal consultant in Quanta Technology, Canada and working in the field of power systems protection, microgrid control and automation, and grid integration of renewable energy resources. His areas of expertise lie within the power system control and automation, microgrid control, power system protection, and distributed control of multi-agent systems. Ali Bidram is an associate editor of IEEE Transactions on Industry Applications. He was the recipient of 2014 N. M. Stelmakh student research award.Vahidreza Nasirian has joined TeraDiode, Inc. in 2016 as High-power Electrical Engineer, where he is currently appointed as the Product Manager for high-power laser diode drivers. He received Ph.D. from the University of Texas at Arlington in 2015. His research interests include the modeling and control of power electronics, control development for microgrids, renewable/ sustainable energy systems, transportation electrification, and control of multi-agent dynamic systems. Dr. Nasirian received IEEE Power and Energy Society Prize Paper Award in Jul. 2016, Best Paper Award from IEEE Transactions on Energy Conversion in Dec. 2015, and Best Symposium Paper Award from 8th Int'l Symposium on Resilient Control Systems in Aug. 2015. He was also the recipient of the UT-Arlington Graduate Dissertation Fellowship for summer 2015, the Carrizo Oil and Gas Inc. Graduate Research Fellowship for 20112013, and Iranian National Elites Foundation Fellowship for 20082010.Ali Davoudi received his Ph.D. in Electrical and Computer Engineering from the University of Illinois, Urbana-Champaign, IL, USA, in 2010. He is currently an Associate Professor in the Electrical Engineering Department, University of Texas, Arlington, TX, USA. He was with Solar Bridge Technologies, Texas Instruments Inc., and Royal Philips Electronics. His research interests include various aspects of analysis and control of complex power electronics systems. Dr. Davoudi is an Associate Editor for the IEEE Transactions on Transportation Electrification and IEEE Transactions on Energy Conversion. He has received 2014 Ralph H. Lee Prize Paper Award from IEEE Transactions on Industry Applications, Best Paper Award from 2015 IEEE International Symposium on Resilient Control Systems, 2014-2015 Best Paper Award from IEEE Transactions on Energy Conversion, and 2016 Prize Paper Award from the IEEE Power and Energy Society. Frank L. Lewis, Member, National Academy of Inventors. Fellow IEEE, Fellow IFAC, Fellow U.K. Institute of Measurement & Control, PE Texas, U.K. Chartered Engineer. UTA Distinguished Scholar Professor, UTA Distinguished Teaching Professor, and Moncrief-O'Donnell Chair at the University of Texas at Arlington Research Institute. Qian Ren Thousand Talents Consulting Professor, Northeastern University, Shenyang, China. He obtained the Bachelor's Degree in Physics/EE and the MSEE at Rice University, the MS in Aeronautical Engineering from Univ. W. Florida, and the Ph.D. at Ga. Tech. He works in feedback control, intelligent systems, cooperative control systems, and nonlinear systems. He is author of 7 U.S. patents, numerous journal special issues, journal papers, and 20 books, including Optimal Control, Aircraft Control, Optimal Estimation, and Robot Manipulator Control which are used as university textbooks worldwide. He received the Fulbright Research Award, NSF Research Initiation Grant, ASEE Terman Award, Int. Neural Network Soc. Gabor Award, U.K. Inst Measurement & Control Honeywell Field Engineering Medal, IEEE Computational Intelligence Society Neural Networks Pioneer Award, AIAA Intelligent Systems Award. Received Outstanding Service Award from Dallas IEEE Section, selected as Engineer of the year by Ft. Worth IEEE Section. Was listed in Ft. Worth Business Press Top 200 Leaders in Manufacturing. Texas Regents Outstanding Teaching Award 2013. He is Distinguished Visiting Professor at Nanjing University of Science & Technology and Project 111 Professor at Northeastern University in Shenyang, China. Founding Member of the Board of Governors of the Mediterranean Control Association.

Inhalt
Introduction.- Control and Modeling of Microgrids.- Background on Distributed Control of Multi-agent Systems.- Distributed Control of AC Microgrids.- Advanced Methods for Distributed Control of AC Microgrids.- Droop-Free Control of AC Microgrids.- Synchronization in DC Microgrids.