LAPSE:2023.22095
Published Article
LAPSE:2023.22095
Privacy-Preserving Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids Using Functional Encryption
Ye-Byoul Son, Jong-Hyuk Im, Hee-Yong Kwon, Seong-Yun Jeon, Mun-Kyu Lee
March 23, 2023
Advanced smart grid technologies enable energy prosumers to trade surplus energy from their distributed renewable energy sources with other peer prosumers through peer-to-peer (P2P) energy trading. In many previous works, P2P energy trading was facilitated by blockchain technology through blockchain’s distributive nature and capacity to run smart contracts. However, the feature that all the data and transactions on a blockchain are visible to all blockchain nodes may significantly threaten the privacy of the parties participating in P2P energy trading. There are many previous works that have attempted to mitigate this problem. However, all these works focused on the anonymity of participants but did not protect the data and transactions. To address this issue, we propose a P2P energy trading system on a blockchain where all bids are encrypted and peer matching is performed on the encrypted bids by a functional encryption-based smart contract. The system guarantees that the information encoded in the encrypted bids is protected, but the peer matching transactions are performed by the nodes in a publicly verifiable manner through smart contracts. We verify the feasibility of the proposed system by implementing a prototype composed of smart meters, a distribution system operator (DSO) server, and private Ethereum blockchain.
Keywords
blockchain, functional encryption, peer-to-peer energy trading, privacy protection, smart grid
Suggested Citation
Son YB, Im JH, Kwon HY, Jeon SY, Lee MK. Privacy-Preserving Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids Using Functional Encryption. (2023). LAPSE:2023.22095
Author Affiliations
Son YB: Department of Computer Engineering, Inha University, Incheon 22212, Korea
Im JH: Department of Computer Engineering, Inha University, Incheon 22212, Korea [ORCID]
Kwon HY: Department of Computer Engineering, Inha University, Incheon 22212, Korea
Jeon SY: Department of Computer Engineering, Inha University, Incheon 22212, Korea
Lee MK: Department of Computer Engineering, Inha University, Incheon 22212, Korea [ORCID]
Journal Name
Energies
Volume
13
Issue
6
Article Number
E1321
Year
2020
Publication Date
2020-03-12
Published Version
ISSN
1996-1073
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PII: en13061321, Publication Type: Journal Article
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doi:10.3390/en13061321
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