4.4 Article

An Architecture for Distributed Energies Trading in Byzantine-Based Blockchains

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGCN.2022.3142438

Keywords

Blockchains; Games; Smart cities; Cogeneration; Resistance heating; Security; Throughput; Distributed energies trading; Smart city; consortium blockchain; byzantine consensus; Stackelberg game

Funding

  1. Start-Up Fund from BNU at Zhuhai [310432104]
  2. National Science Foundation [1747818, 1907472]

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With the development of smart cities, a large distributed network has been formed between cities, which raises the challenge of secure and efficient energy trading. In this paper, a blockchain-based multiple energies trading system is proposed, using a smart contract and a new byzantine-based consensus mechanism. The model and algorithms are validated using numerical simulations, demonstrating their correctness and efficiency.
With the development of smart cities, not only are all corners of the city connected to each other, but also connected from city to city. They form a large distributed network together, which can facilitate the integration of Distributed Energy Stations (DESs) and corresponding smart aggregators. Nevertheless, because of potential security and privacy protection arising from trustless energies trading, how to make such energies trading go smoothly is a tricky challenge. In this paper, we propose a blockchain-based multiple energies trading (B-MET) system for secure and efficient energies trading by executing a smart contract we design. Because energies trading requires the blockchain in B-MET system to have high throughput and low latency, we design a new byzantine-based consensus mechanism (BCM) based on node's credit to improve efficiency for the consortium blockchain under the B-MET system. Then, we take combined heat and power (CHP) system as a typical example that provides distributed energies. We quantify their utilities and model the interactions between aggregators and DESs in a smart city by a novel multi-leader multi-follower Stackelberg game. It is analyzed and solved by reaching Nash equilibrium between aggregators, which reflects the competition between aggregators to purchase energies from DESs. In the end, we conduct plenty of numerical simulations to evaluate and verify our proposed model and algorithms, which demonstrate their correctness and efficiency completely.

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