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Energy Block-Based Peer-to-Peer Contract Trading with Secure Multi-Party Computation in Nanogrid

  • Chenggang Mu
  • , Tao Ding
  • , Yuge Sun
  • , Yuhan Huang
  • , Fangxing Li
  • , Pierluigi Siano
  • Xi'an Jiaotong University
  • University of Tennessee
  • University of Salerno

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

The emergence of nanogrid has led to active local energy markets. Renewable energy sources and flexible energy storages in nanogrids provide favorable conditions for establishing a sustainable bilateral trading market. However, due to the diversity of energy sources in nanogrids, it is difficult to establish a uniform scheduling scheme. To this end, this paper first establishes an effective peer-to-peer energy block contract market to provide a scheme for users to exchange energy at any time interval. The goal is to maximize contract volume while ensuring the economic profitability of all users. Beyond that, a garbled circuit-based price comparison mechanism is proposed based on a secure multi-party computation to achieve price comparison without revealing any individual user's data to other users for privacy preserving. Finally, a fully distributed algorithm is designed by constructing a local tracker to track the inequality amount in iteration. The algorithm also subtly parses the input data, which weakens the intertwined relationship in peer-to-peer transactions and improves computation efficiency. Case studies verify the privacy of the described method and the effectiveness of the energy block contract market.

Original languageEnglish
Pages (from-to)4759-4772
Number of pages14
JournalIEEE Transactions on Smart Grid
Volume13
Issue number6
DOIs
StatePublished - 1 Nov 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Energy block
  • distributed algorithm
  • peer-to-peer
  • privacy preserving
  • secure multi-party computation

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