Paper 2016/797

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

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

Abstract

This paper proposes a decentralised and privacy-preserving local electricity trading market. The proposed market employs a bidding protocol based upon secure multiparty computations and allows users to trade their excess electricity among themselves. The bid selection and calculation of the clearance price at which the electricity is traded are performed by the market 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 five minutes in the online phase, showing its feasibility for a typical electricity trading period of, for example, 30 minutes.