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Author:

Guo, Jianxiong (Guo, Jianxiong.) | Ding, Xingjian (Ding, Xingjian.) | Wu, Weili (Wu, Weili.)

Indexed by:

EI Scopus SCIE

Abstract:

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.

Keyword:

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

Author Community:

  • [ 1 ] [Guo, Jianxiong]Beijing Normal Univ, BNU UIC Inst Artificial Intelligence & Future Net, Zhuhai 519087, Guangdong, Peoples R China
  • [ 2 ] [Guo, Jianxiong]BNU HKBU United Int Coll, Guangdong Key Lab AI & Multimodal Data Proc, Zhuhai 519087, Guangdong, Peoples R China
  • [ 3 ] [Ding, Xingjian]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Wu, Weili]Univ Texas Dallas, Erik Jonsson Sch Engn & Comp Sci, Dept Comp Sci, Dallas, TX 75080 USA

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Source :

IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING

ISSN: 2473-2400

Year: 2022

Issue: 2

Volume: 6

Page: 1216-1230

4 . 8

JCR@2022

4 . 8 0 0

JCR@2022

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 10

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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