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.
CITATION STYLE
Abidin, A., Aly, A., Cleemput, S., & Mustafa, M. A. (2016). An MPC-based privacy-preserving protocol for a local electricity trading market. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10052 LNCS, pp. 615–625). Springer Verlag. https://doi.org/10.1007/978-3-319-48965-0_40
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