Activities per year
Abstract
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.
Original language | English |
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Journal | IEEE Transactions on Smart Grid |
Publication status | Submitted - 25 Jan 2018 |
Keywords
- cs.CR
Fingerprint
Dive into the research topics of 'Secure and Privacy-Friendly Local Electricity Trading and Billing in Smart Grid'. Together they form a unique fingerprint.Prizes
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Winner of the Student Video Competition at IEEE SmartGridComm 2017
Mustafa, M. (Recipient), 23 Oct 2017
Prize: Prize (including medals and awards)
Activities
- 1 Invited talk
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Secure and Privacy-Friendly Local Electricity Trading
Mustafa, M. (Speaker)
11 Apr 2017Activity: Talk or presentation › Invited talk › Research