Autorentext
Veerpratap Meera has been working as a Postdoctoral Fellow at Amrita Vishwa Vidyapeetham University, India and as Chair of the IEEE Systems Council Systems Education Technical Committee, USA, since 2023. His research interests include electric vehicles, power systems, system modeling, controller design, interval systems, model order reduction, applications of optimization algorithms, and power electronics. J. Ramprabhakar is currently an Associate Professor of Electrical and Electronics Engineering at Amrita School of Engineering, India. In addition, he is currently working on two government-funded projects sanctioned by Vision Group of Science and Technology, India, and DRDO-ARDB Delhi, India.

R. Anand is an Assistant Professor (Senior Grade) at the Amrita School of Engineering ofAmrita Vishwa Vidyapeetham University, India. His research interests include Power Electronics, Electrical Drives, Renewable Energy Systems, Soft Computing, Machine Learning and Blockchain. He has published four Indian patents copyrighted three algorithms. With 17 years of teaching and research experience, he has published research in 2 books, 5 National Conferences, 25 International Conferences, and 20 International Journals.

Prof. Sanjeevikumar Padmanaban is a full professor of electrical power engineering in the Department of Electrical Engineering, Information Technology, and Cybernetics, at the University of South-Eastern Norway. He received his PhD in electrical engineering from the University of Bologna, Italy, in 2012. Subsequently, he held positions at VIT University (India), National Institute of Technology (India), Qatar University, Dublin Institute of Technology (Ireland), University of Johannesburg (South Africa), Aalborg University (Denmark), and Aarhus University (Denmark). Prof. Padmanaban has authored over 750 scientific papers and has been listed among the world's top 2% of scientists (from 2019) by Stanford University. He is editor, associate editor, or editorial board member for several important refereed journals, and a Fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. He received a lifetime achievement award from Marquis Who's WhoUSA 2017 for his contributions to power electronics and renewable energy research.Josep M. Guerrero is a full professor with AAU Energy, Aalborg University, Denmark. He is the director of the Center for Research on Microgrids (CROM). He has published more than 800 journal articles in the fields of microgrids and renewable energy systems, which have been cited more than 80,000 times. His research interests focus on different microgrid aspects, including hierarchical and cooperative control, and energy management systems.

Klappentext
A Microgrid Cluster Management and Internet-of-Things Framework: Fundamentals, Protocols, and Case Studies presents a cutting-edge guide on leveraging IoT technologies to optimize renewable energy integration through microgrid clusters. The book begins by detailing the fundamental aspects of microgrid clusters, encompassing design, control, and optimization. This comprehensive grounding prepares readers for the exploration of IoT integration to harness big data analytics for energy efficiency, power management, fault monitoring, and cybersecurity. The book further delves into the meticulous analysis of protocol selection for effective operation and control.

It covers wired protocols such as Modbus, Profibus, and Ethernet, wireless protocols like Zigbee, Wi-Fi, and Bluetooth, and IoT protocols including CoAP, MQTT, and HTTP. By outlining an adaptable framework for interdisciplinary opportunities, this book guides researchers and engineers in creating the flexible, renewable grid of the future.

Inhalt

Part I: Microgrid Clusters: Design, Control, and Optimization

1. Introduction to microgrids
2. Microgrid clusters
3. Microgrid controls
4. Microgrid protection
5. Sensors in microgrids

Part II: Microgrid Cluster Management Utilizing the Internet-of-Things
6. Internet-of-Things framework for microgrid-cluster management
7. Internet-of-Things-based smart power management system
8. A microgrid cluster entity implementing Internet-of-Things' big data analytics
9. Smart microgrid clusters: control and protection deploying Internet-of-Things technologies, frameworks, and applications
10. Communication protocols
11. Cybersecurity
12. Case studies