Comparative Analysis of P2P Architectures for Energy Trading and Sharing

Olamide Jogunola, Augustine Ikpehai, Kelvin Anoh, Bamidele Adebisi, Mohammad Hammoudeh, Haris Gacanin and Georgina Harris
Additional contact information
Olamide Jogunola: Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Augustine Ikpehai: Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Kelvin Anoh: Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Bamidele Adebisi: Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Mohammad Hammoudeh: Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Haris Gacanin: Nokia-Bell Labs, Copernicuslaan 50, 2018 Antwerp, Belgium
Georgina Harris: Faculty of Science and Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK

Energies, 2017, vol. 11, issue 1, 1-20

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.

Keywords: peer-to-peer architecture (P2P); structured P2P; unstructured P2P; protocols; micro-grid; prosumer; energy trading and sharing (ETS); multi-agent systems; kademlia; gia (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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