Smart Microgrids (eBook)

Dr. Shahab Bahrami received the B.Sc. and M.A.Sc. degrees both in Electrical Engineering from Sharif University of Technology, Tehran, Iran, in 2010 and 2012, respectively. He received the Ph.D. degree in Electrical & Computer Engineering from the University of British Columbia (UBC), Vancouver, BC, Canada in 2017. Dr. Bahrami continued to work as a post-doctoral research fellow at UBC until Jan. 2018. He has received Sharif University’s Exceptional Talents Scholarship Award in 2010 and various prestigious scholarships at UBC, including the distinguished and highly competitive UBCs Four Year Fellowship (2013-2017), which is opento all local and international graduate students at UBC, as well as the Graduate Support Initiative Award from the Faculty of Applied Science at UBC (2014-2017). Dr. Bahrami also received a Best Paper Award at the IEEE Pacific Rim Conf. on Communications, Computers and Signal Processing (PACRIM 2015). Dr. Bahrami is currently a Technical Program Committee (TPC) member of IEEE Intl. Conf. of Communications (ICC 2018) and IEEE Intl. Conf. on Smart Energy Systems and Technologies (SEST 2019). He is also a reviewer of various journals and conferences, including the IEEE Trans. on Power Systems, IEEE Trans. on Smart Grid, and IEEE SmartGridComm. He has published more than 40 refereed journal and conference papers in the smart energy systems related areas. His research interests include smart microgrids, power analysis, demand side management, game theory, optimization, and algorithm design with applications to smart grid. Ali Mohammadi received his BS degree in Electrical Engineering (Telecommunication) from Shahid Bahonar university of Kerman, Kerman, Iran, 2012, and his MS degree in Electrical Engineering (Telecommunication) from Shiraz University of Technology, Shiraz, Iran, 2014. He is currently pursuing his Ph.D. degree at the Department of Electrical and Computer Engineering, Louisiana State University, LA, USA. His research interests include smart grids, power system optimization, machine learning, game theory, and graph theory.

Introduction.- Control, management, and optimization strategies in AC and DC microgrids.- Laboratory-Scale Microgrid System for Control of Power Distribution in Local Energy.- Laboratory-Scale Microgrid System for Control of Power Distribution in Local Energy.- A Distributed Coordination Framework for Smart Microgrids.- Clustering Algorithms in Wireless Sensor Networks for Future Microgrids: Challenges, Solutions, and Future Research Trends.- Wind Turbine Design & Performance Analysis for Smart Microgrids.- Conclusion.