An MPC-Based Privacy-Preserving Protocol for a Local Electricity Trading Market

Aysajan Abidin, Abdelrahaman Aly, Sara Cleemput, Mustafa A. Mustafa

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    This paper proposes a decentralised and privacy-preserving local electricity trading market. The market employs a bidding protocol based on secure multiparty computation and allows users to trade their excess electricity among themselves. The bid selection and trading price calculation are performed in a decentralised and privacy-preserving manner. We implemented the market in C++ and tested its performance with realistic data sets. Our simulation results show that the market tasks can be performed for 2500 bids in less than four minutes in the “online” phase, showing its feasibility for a typical electricity trading period.
    Original languageEnglish
    Title of host publicationCRYPTOLOGY AND NETWORK SECURITY, CANS 2016
    Number of pages11
    Publication statusPublished - 28 Oct 2016

    Publication series

    NameLecture Notes in Computer Science


    • Secure multiparty computation
    • Local electricity trading market
    • Smart grid
    • Renewable energy source
    • Security and Privacy


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