Blockchain technology for smart grids holds great promise for grid management and secure transactions. Written by an international team, this timely work introduces the concept of blockchain and covers applications in smart grids, including sensors, security and privacy, AI and the use of cryptocurrencies for energy transactions.
Smart grids with distributed clean energy generation, storage and prosumers are the future of energy systems. They need two-way digital communication between multiple customers and suppliers of energy, to produce, buy and sell electricity to the grid at small scales. These arrangements need a system that maintains, checks, and registers information about transactions.
Blockchain technology is able to handle these requirements with smart contracts, peer-to-peer energy trading and immutable transactions. A blockchain is a digital ledger of transactions that can be accessed across the entire network of computer systems. Combined with sensors to track energy flows, blockchain can enable the smart grid.
After an introduction to blockchain, chapters cover integration with IoT, IoT- and blockchain-enabled smart grids, use of sensors, security and privacy, use of machine and deep learning, energy storage and transaction, as well as use of cryptocurrencies for transactions.
Written by an international team with the necessary multi-disciplinarity, this work for researchers in power systems as well as economists with related interests covers the use of blockchain technology for smart grids.
- Chapter 1: Blockchain: a new era of technology
- Chapter 2: Integration of blockchain with IoT-enabled sensor networks for smart grids
- Chapter 3: Blockchain technology as a solution to address security and privacy issues in IoT
- Chapter 4: Secured energy-efficient routing protocol with game-based fuzzy Q-learning approach for smart grid systems
- Chapter 5: Blockchain-based secured IoT-enabled smart grid system
- Chapter 6: Deployment of IoT-based sensor data management in smart grids
- Chapter 7: Security and privacy of smart grid data and management using blockchain technology
- Chapter 8: Machine learning and deep-learning algorithms for blockchain and IoT-driven smart grids
- Chapter 9: Cloud computing-based techniques for blockchain-based smart grids
- Chapter 10: Smart grid: energy storage and transaction
- Chapter 11: Development of novel cryptocurrencies for IoT - blockchain-enabled smart grid platforms
Gururaj H. L. is an associate professor at Vidyavardhaka College of Engineering, Mysuru, India. He is a professional member of ACM, founder of Wireless Internetworking Group (WiNG), senior member of IEEE and lifetime member of ISTE and CSI, and board member of the International Journal of Block chains and Cryptocurrencies (IJBC). His research interests include Blockchain technology, wireless sensor networks, machine learning and others. He has published over 75 research papers in international journals.
Ravi Kumar V. is head of the Department in Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. A professional member of ACM and lifetime member of ISTE, IETE and CSI, and board member of the International Journal of Block chains and Cryptocurrencies (IJBC), his research interests include Blockchain technology, data mining and machine learning.
Francesco Flammini is a professor of Computer Science with a focus on Cyber-Physical Systems at Mälardalen University, Sweden. He has led the Cyber-Physical Systems (CPS) research and education area within the Smarter Systems complete knowledge environment. An IEEE senior member and the chair of the IEEE SMC Technical Committee on Homeland Security, he is currently a steering committee member and conference coordinator for the IEEE FDC Initiative on Symbiotic Autonomous Systems.
Hong Lin is a professor in computer science at University of Houston-Downtown, USA. He has worked on large-scale computational biology at Purdue University, active networks at the National Research Council Canada, and network security at Nokia, Inc. He established the Grid Computing Lab at UHD, and has published more than 100 research papers in various reputed international journals and conferences.
Goutham B. is an assistant professor at Vidyavardhaka College of Engineering Mysuru, Karnataka, India. He is the faculty member of the Wireless Internetworking Group (WiNG) and an RPA global certified member. His areas of interest include smart grids, cyber security, microgrids, renewable energy sources and electrical machines.
Sunil Kumar B. R. is an assistant professor at Vidyavardhaka College of Engineering, Mysuru, India. He is the faculty member of the Wireless Internetworking Group (WiNG) and lifetime member of ISCA and IAENG. His research interests include Blockchain technology, wireless senor network, ad-hoc networks, IoT and machine learning.
C. Sivapragash is a professor at Swarnandhra College of Engineering and Technology, India. His research focuses on computer networks, security, reliability and distributed computing. A current project is 'Trace Based Real Time Service Selection and Composition for Secure Cloud Computing in Smart Grids'.
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