Enabling Energy Trading in Cooperative Microgrids: A Scalable Blockchain-based Approach with Redundant Data Exchange
Huang, H; Miao, W; Li, Z; et al.Tian, J; Wang, C; Min, G
Date: 27 September 2021
Journal
IEEE Transactions on Industrial Informatics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
Blockchain has recently been regarded as an important enabler for building secure energy trading in microgrid systems due to its inherent features of distributively providing immutable data record, storage and sharing across networks in a Peer-to-Peer (P2P) manner. However, designing highly-efficient and scalable blockchain-enabled ...
Blockchain has recently been regarded as an important enabler for building secure energy trading in microgrid systems due to its inherent features of distributively providing immutable data record, storage and sharing across networks in a Peer-to-Peer (P2P) manner. However, designing highly-efficient and scalable blockchain-enabled energy trading mechanisms is extremely challenging because of the unique features of microgrid systems, e.g., bandwidth constrained and high-latency communications and large-scale Renewable Energy Source (RES) integration. To address this challenge, we propose a novel scalable blockchain-based energy trading (SBET) framework for cooperative micro-grid systems, which includes four planes, i.e., data plane, consensus plane, smart plane, and application plane. Different from the existing solutions without consideration of network transmission, these four planes are designed with the capability of perceiving the status of block generation and transmission over interrupted P2P networks, and thus proactively improving the consensus process to guarantee the reliability of energy trading in cooperative microgrids. Meanwhile, built on this framework, a novel redundant data exchange strategy is proposed to improve the scalability of block creation with the presence of large-scale RES penetration and interrupted and dynamic communication links. Simulation results show that the proposed system framework outperforms the benchmark blockchain solutions. Furthermore, we investigate the potential applications of the proposed solutions in the practical microgrid systems to facilitate a clear understanding of the mechanisms of the proposed solutions.
Computer Science
Faculty of Environment, Science and Economy
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