Open Access

ARTICLE

Research on the Electric Energy Metering Data Sharing Method in Smart Grid Based on Blockchain

Shaocheng Wu¹, Honghao Liang¹, Xiaowei Chen¹, Tao Liu¹, Junpeng Ru^2,3, Qianhong Gong^2,3, Jin Li^2,3,*

1 Shenzhen Power Supply Co., Ltd., Shenzhen, 518001, China
2 School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, 100876, China
3 Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Beijing, 100876, China

* Corresponding Author: Jin Li. Email:

Journal on Big Data 2023, 5, 57-67. https://doi.org/10.32604/jbd.2023.044257

Received 25 July 2023; Accepted 18 October 2023; Issue published 24 November 2023

Abstract

Enabling data sharing among smart grid power suppliers is a pressing challenge due to technical hurdles in verifying, storing, and synchronizing energy metering data. Access and sharing limitations are stringent for users, power companies, and researchers, demanding significant resources and time for permissions and verification. This paper proposes a blockchain-based architecture for secure and efficient sharing of electric energy metering data. Further, we propose a data sharing model based on evolutionary game theory. Based on the Lyapunov stability theory, the model’s evolutionary stable strategy (ESS) is analyzed. Numerical results verify the correctness and practicability of the scheme proposed in this paper, and provide a new method for realizing convenient, safe and fast data sharing.

---

Keywords

---