Sustainable Networks in Smart Grid

1st Edition - March 26, 2022
Editors: B.D. Deebak, Fadi Al-Turjman
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 6 2 6 - 3
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 6 2 7 - 0

Sustainable Networks in Smart Grid presents global challenges in smart metering with renewable energy resources, micro-grid design, communication technologies, big data, privacy a… Read more

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Sustainable Networks in Smart Grid presents global challenges in smart metering with renewable energy resources, micro-grid design, communication technologies, big data, privacy and security in the smart grid. Providing an overview of different available PLC technologies and configurations and their applications in different sectors, this book provides case studies and practical implementation details of smart grid technology, paying special attention to Advanced Metering Infrastructure (AMI) scenarios with the presence of Distribution Grid (DG) and Electric Vehicles (EV).

Covering regulatory policies for energy storage, management strategies for microgrid operation, and key performance indicators for smart grid development, this reference compiles up-to-date information on different aspects of the Internet of Smart Metering. In addition, innovative contributions on Data Analytics, Energy Theft Detection, Data-Driven Framework, Blockchain–IoT-enabled Sensor Networks, and Smart Contacts in the Blockchain are also included.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Chapter 1. Smart Grid communication and information technologies for cyber security, data privacy, and policy issues
Abstract
1.1 Introduction to Smart Grids
1.2 Evolution of the Power Grid
1.3 Smart Grids and Cyber security in Industry 4.0
1.4 Conclusions and future work
References
Chapter 2. Recent regulatory control changes related to energy storage in Asia: impact on the business cases
Abstract
2.1 Introduction
2.2 Theoretical background
2.3 Energy storage classification
2.4 Energy storage treatment in the market
2.5 SWOT method analysis
2.6 Results and discussion
2.7 Conclusion
References
Chapter 3. Smart home energy management system: concept, architecture, infrastructure, challenges, and energy management
Abstract
3.1 Introduction
3.2 History and evolution of smart home energy management system
3.3 Smart home energy management system: overview
3.4 Energy management
3.5 Technological issues and challenges
3.6 Real-time solutions and recommendations
3.7 Future smart home energy management system
3.8 Conclusion
References
Chapter 4. Role of power line communications in the Smart Grid: applications, challenges, and research initiatives
Abstract
4.1 Introduction
4.2 Theoretical background
4.3 Power line communication: overview
4.4 Power line communication’s: advanced technologies and applications
4.5 Power line communications for the Smart Grid
4.6 Power line communications: applications and real-time solutions
4.7 Design challenges and technical issues
4.8 Conclusions
References
Chapter 5. Key performance indicator-based energy management strategies for microgrid operation
Abstract
5.1 Introduction
5.2 Microgrid: an overview
5.3 Energy consumption strategies and methodologies
5.4 Microgrid operations
5.5 KPI: Key performance indicators
5.6 Conclusion
References
Chapter 6. Smart energy optimization using new genetic algorithms in Smart Grids with the integration of renewable energy sources
Abstract
6.1 Introduction
6.2 Structure of modern Smart Grid system
6.3 Renewable energy integration
6.4 Genetic algorithm
6.5 Results and discussion
6.6 Conclusions
References
Chapter 7. Distributed semantic architecture for smart grids: an industrial approach
Abstract
7.1 Introduction
7.2 Semantic distributed architectures
7.3 Smart grids: state-of-the-art
7.4 Smart grid technologies
7.5 Industry approaches to smart grids
References
Chapter 8. Application of artificial intelligence and information and communication technology in the grid agricultural industry: business motivation, analytical tools, and challenges
Abstract
8.1 Introduction
8.2 Application of artificial intelligence in the agricultural industry
8.3 Application of information and communication technology in the agricultural industry
8.4 Harnessing information and communication technology and artificial intelligence in agricultural industry
8.5 Artificial intelligence usage of computer networks in agricultural systems
8.6 Impacts of information and communication technology and artificial intelligence in the agriculture industry
8.7 Challenges and discussion
8.8 Conclusion
References
Chapter 9. Data protection and privacy preservation mechanisms for applications of IoT in smart grids using AI
Abstract
9.1 Introduction
9.2 Literature review
9.3 Methodology
9.4 Results
9.5 Conclusion
References
Chapter 10. An efficient lightweight privacy-preserving scheme for secondary users in cognitive radio networks
Abstract
10.1 Introduction
10.2 Research background
10.3 Preliminaries
10.4 Proposed lightweight efficient privacy-preserving mechanism
10.5 Security analysis
10.6 Performance analysis
10.7 Conclusions
References
Chapter 11. Smart grid metering: security, privacy, and open challenges
Abstract
11.1 Introduction
11.2 Smart grid: an overview
11.3 Smart grid metering communication technologies
11.4 Smart grid metering: security and privacy
11.5 Security attacks based on smart metering networks
11.6 Security goals and open challenges
11.7 Conclusions
References
Index

B.D. Deebak

B.D. Deebak is an associate professor in the Department of Computational Intelligence, School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. Previously, he was at GMR Institute of Technology, Rajam as an associate professor in the Department of Computer Science and Engineering and before that in Middle East Technical University (METU) Northern Cyprus Campus. He has more than 12 years of teaching experience and research in various engineering institutions. His areas of research include multimedia networks, network security, and machine learning.

Affiliations and expertise

Associate Professor, Department of Computational Intelligence, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Fadi Al-Turjman

Dr. Fadi Al-Turjman is the Associate Dean for Research Center for AI and IoT, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, Turkey. He received his Ph.D. in Computer Science from Queen’s University, Canada. Dr. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks. His publication history spans over 400 SCI/E publications, and more than 11,000 citations, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. Dr. Al-Turjman received several recognitions and best papers’ awards at top international conferences, including Best Research Paper Award from Elsevier Computer Communications Journal. Dr. Al-Turjman has led a number of international symposia and workshops for flagship communication society conferences. Currently, he serves as book series editor and lead guest/associate editor for several top tier journals, including IEEE Communications Surveys and Tutorials and Elsevier Sustainable Cities and Society, in addition to organizing international conferences and symposiums on leading-edge research topics in AI and IoT.

Affiliations and expertise

Associate Dean and Founding Director, Research Center for AI and IoT, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, Turkey

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