Secure and Privacy-Friendly Local Electricity Trading and Billing in Smart Grid
This addresses privacy and security concerns for electricity consumers and suppliers in smart grid systems, though it is incremental as it builds on existing secure computation and aggregation techniques.
The paper tackles the problem of enabling secure and private local electricity trading and billing in smart grids by proposing two decentralized protocols, achieving a trading process for 2500 bids in under five minutes.
This paper proposes two decentralised, secure and privacy-friendly protocols for local electricity trading and billing, respectively. The trading protocol employs a bidding algorithm based upon secure multiparty computations and allows users to trade their excess electricity among themselves. The bid selection and calculation of the trading price are performed in a decentralised and oblivious manner. The billing protocol is based on a simple privacy-friendly aggregation technique that allows suppliers to compute their customers' monthly bills without learning their fine-grained electricity consumption data. We also implemented and tested the performance of the trading protocol with realistic data. Our results show that it can be performed for 2500 bids in less than five minutes in the on-line phase, showing its feasibility for a typical electricity trading period of 30 minutes.