Smart Microgrids

From Design to Laboratory-Scale Implementation
1. Auflage 2019
ISBN: 978-3-030-02655-4
Verlag: Springer International Publishing

Buch, Englisch, 141 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 401 g

In this book the authors first provide a comprehensive survey on the available studies on control, management, and optimization strategies in AC and DC microgrids. The authors then provide the design of a laboratory-scale microgrid system. Finally, a real-world implementation of the deigned framework is provided. This book paves the way for researchers working on the smart microgrids spread over the fields of electrical engineering, power systems, and smart infrastructures. Furthermore, it provides the readers with a comprehensive insight to understand an in-depth big picture of smart microgrids as well as an all-inclusive framework for laboratory-scale implementation of a microgrid. It is suitable for senior undergraduate students, graduate students who are interested in research in areas related to future smart grids and microgrids, and the researchers working in the related areas. This book also can be used as a reference book for researchers who want to develop laboratories on smart microgrids for future research.

Zielgruppe

Research

Autoren/Hrsg.

Mohammadi, Ali

Bahrami, Shahab

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

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.

Über Autor(innen)

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. Hisresearch interests include smart grids, power system optimization, machine learning, game theory, and graph theory.