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Comparative Analysis of P2P Architectures for Energy Trading and Sharing

Jogunola, Olamide; Ikpehai, Augustine; Anoh, Kelvin; Adebisi, Bamidele; Hammoudeh, Mohammad; Gacanin, Haris and Harris, Georgina (2018). Comparative Analysis of P2P Architectures for Energy Trading and Sharing. Energies, 11(1), article no. 62.

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DOI (Digital Object Identifier) Link: https://doi.org/10.3390/en11010062
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Abstract

Rising awareness and emergence of smart technologies have inspired new thinking in energy system management. Whilst integration of distributed energy resources in micro-grids (MGs) has become the technique of choice for consumers to generate their energy, it also provides a unique opportunity to explore energy trading and sharing amongst them. This paper investigates peer-to-peer (P2P) communication architectures for prosumers’ energy trading and sharing. The performances of common P2P protocols are evaluated under the stringent communication requirements of energy networks defined in IEEE 1547.3-2007. Simulation results show that the structured P2P protocol exhibits a reliability of 99.997% in peer discovery and message delivery whilst the unstructured P2P protocol yields 98%, both of which are consistent with the requirements of MG applications. These two architectures exhibit high scalability with a latency of 0.5 s at a relatively low bandwidth consumption, thus, showing promising potential in their adoption for prosumer to prosumer communication.

Item Type: Journal Item
Copyright Holders: 2017 The Authors
ISSN: 1996-1073
Project Funding Details:
Funded Project NameProject IDFunding Body
Peer-to-Peer Energy Trading and Sharing—3M (Multi-times, Multi-scales, Multi-qualities) projectEP/N03466X/1EPSRC (Engineering and Physical Sciences Research Council)
Keywords: peer-to-peer architecture (P2P); structured P2P; unstructured P2P; protocols; micro-grid; prosumer; energy trading and sharing (ETS); multi-agent systems; kademlia; gia
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 59317
Depositing User: Georgina Harris
Date Deposited: 01 Mar 2019 15:23
Last Modified: 30 Mar 2019 22:54
URI: http://oro.open.ac.uk/id/eprint/59317
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