Blockchain-Based Peer-to-Peer Energy Trading Method

Thompson, Myles J., Sun, Hongjian and Jiang, Jing (2021) Blockchain-Based Peer-to-Peer Energy Trading Method. CSEE Journal of Power and Energy Systems. pp. 1-9. ISSN 2096-0042 (In Press)

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Official URL: https://doi.org/10.17775/cseejpes.2021.00010

Abstract

Blockchain-enabled peer-to-peer energy trading provides a method for neighbours and communities to trade energy generated from local and distributed renewable energy sources. Effective matching can facilitate greater energy efficiency during transmission, increases user welfare through preference and improves power quality. The proposed algorithm builds upon work to develop a system of scoring an energy transaction. It uses a McAfee-priced double auction, and scores based upon preference of price, locality, and energy generation type, alongside the quantity of energy being traded. The algorithm pre-evaluates transactions to determine the optimal transactional pathway. The transaction carried out is that leading to the greatest cumulative score. Simulated over a range of scenarios, the proposed algorithm provides an average increase in user welfare of 75. Commercially, the algorithm may be deployed in small to large settlements whilst remaining stable. By reducing power loss, the algorithm allows consumers to save 25 on their cost of energy, whilst providing a 50 increase in the revenue earned by prosumers.

Item Type: Article
Additional Information: Funding information: This work was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 872172 TESTBED2 project.
Uncontrolled Keywords: Peer-to-peer energy trading, smart grid, blockchain, matching algorithm, renewable energy source
Subjects: G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 03 Aug 2021 08:48
Last Modified: 12 Oct 2021 15:15
URI: http://nrl.northumbria.ac.uk/id/eprint/46831

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