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Elsevier

A Microgrid Cluster Management and Internet-of-Things Framework

Fundamentals, Protocols, and Case Studies

  • 1st Edition - April 1, 2027
  • Latest edition
  • Editors: Veerpratap Meena, J. Ramprabhakar, R. Anand, Sanjeevikumar Padmanaban, Josep M. Guerrero
  • Language: English

A Microgrid Cluster Management and Internet-of-Things Framework: Fundamentals, Protocols, and Case Studies present guidance on leveraging IoT technologies to optimize renewa… Read more

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Description

A Microgrid Cluster Management and Internet-of-Things Framework: Fundamentals, Protocols, and Case Studies present guidance 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.

Chapters present meticulous analysis of protocol selection for effective operation and control. Additionally, wired protocols such as Modbus, Profibus, and Ethernet, wireless protocols like Zigbee, Wi-Fi, and Bluetooth, and IoT protocols including CoAP, MQTT, and HTTP are examined.

This book is valuable for researchers and engineers working on flexible and renewable grids and grid integration.

Key features

  • Presents fundamentals of microgrid clusters and complex applications
  • Provides technical protocols for data exchange, cybersecurity, and signal conditioning
  • Presents dedicated case studies to demonstrate real-world applications of emerging technologies

Readership

Graduate or upper-level undergraduate students, academics, and researchers working in microgrids and connected power grids

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Published: April 1, 2027
  • Language: English

About the editors

VM

Veerpratap Meena

Dr. Veerpratap Meena is an Assistant Professor in the Department of Electrical Engineering at the National Institute of Technology (NIT). He holds key leadership positions within the IEEE Delhi Section and Rajasthan Subsection, including Chair of the IEEE Delhi Section Rajasthan Aerospace and Electronic Systems Society Chapter and the IEEE Systems Council Joint Section Chapter. Dr. Meena’s research interests include microgrids, renewable energy integration, power electronics, optimization, artificial intelligence, machine learning, smart grids, net-zero energy systems, electric vehicles, control systems, peer-to-peer energy trading, and healthcare applications. He is currently working as an External Collaborator with the USD AI Research, University of South Dakota, USA, contributing to advanced interdisciplinary research initiatives in artificial intelligence and smart energy systems.
Affiliations and expertise
Assistant Professor, Electrical Engineering, National Institute of Technology (NIT), Jamshedpur, India.

JR

J. Ramprabhakar

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.

Affiliations and expertise
Associate Professor, Electrical and Electronics Engineering, Amrita School of Engineering, AVV University, India

RA

R. Anand

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.

Affiliations and expertise
Assistant Professor, Amrita School of Engineering, AVV University, India

SP

Sanjeevikumar Padmanaban

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. He also 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). He is 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.
Affiliations and expertise
Department of Electrical Engineering, Information Technology, and Cybernetics, University of South-Eastern Norway, Norway

JG

Josep M. Guerrero

Josep M. Guerrero is Director, Center for Research on Microgrids (CROM), Huanjiang Laboratory, Zhejiang University, Zhuji, China and a full professor with AAU Energy, Aalborg University, Denmark. He is the director of the Center for Research on Microgrids (CROM). His research interests focus on different microgrid aspects, including hierarchical and cooperative control, and energy management systems.
Affiliations and expertise
Director, Center for Research on Microgrids (CROM), Huanjiang Laboratory, Zhejiang University, Zhuji, China &Full Professor, AAU Energy, Aalborg University and Director of the Center for Research on Microgrids (CROM), Denmark