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Lattice-Like Blockchain System for Maintaining the Data Privacy in the Distributed Computation of Carbon Emission

  • Zhuopu Han
  • , Tao Ding
  • , Chenggang Mu
  • , Xin Shen
  • , Jiahao Li
  • , Mohammad Shahidehpour
  • Xi'an Jiaotong University
  • Yunnan Power Grid Co., Ltd.
  • Illinois Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

10 引用 (Scopus)

摘要

Calculation and deposit of carbon emission flow help optimize the systematic management of power system operation with different types of power generation units. Traditionally, centralized computation of carbon emission flow led to some inherent problems, including poor stability, flexibility and data privacy concerns. In contrast, the existing distributed computation methods for carbon emission fail to protect data privacy and is difficult to ensure data credibility. Therefore, this paper proposes a distributed computation method for carbon emission flow, where a bus classification method and an encryption algorithm are designed to protect data privacy. Then, a lattice-like light blockchain structure is proposed for carbon emission flow calculation result, enhancing efficiency during the deposit process. The proposed lattice-like blockchain breaks through the existing structure with a single chain, as it realizes an asynchronous consensus by significantly improving the uploading speed of the blockchain. Finally, the IEEE 33-bus system is used to verify the reliability and security of the proposed method, interact with the lattice-like blockchain, and enhance the computation performance of the proposed method.

源语言英语
页(从-至)4961-4973
页数13
期刊IEEE Transactions on Smart Grid
卷15
期5
DOI
出版状态已出版 - 2024

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