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Comparative Analysis of P2P Architectures for Energy Trading and Sharing

Author

Listed:
  • 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)

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.

Suggested Citation

  • Olamide Jogunola & Augustine Ikpehai & Kelvin Anoh & Bamidele Adebisi & Mohammad Hammoudeh & Haris Gacanin & Georgina Harris, 2017. "Comparative Analysis of P2P Architectures for Energy Trading and Sharing," Energies, MDPI, vol. 11(1), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:11:y:2017:i:1:p:62-:d:124717
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    References listed on IDEAS

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    Cited by:

    1. Yunjun Yu & Yanghui Guo & Weidong Min & Fanpeng Zeng, 2019. "Trusted Transactions in Micro-Grid Based on Blockchain," Energies, MDPI, vol. 12(10), pages 1-16, May.
    2. Georgios Yiasoumas & Lazar Berbakov & Valentina Janev & Alessandro Asmundo & Eneko Olabarrieta & Andrea Vinci & Giovanni Baglietto & George E. Georghiou, 2023. "Key Aspects and Challenges in the Implementation of Energy Communities," Energies, MDPI, vol. 16(12), pages 1-24, June.
    3. Zhou, Yue & Wu, Jianzhong & Song, Guanyu & Long, Chao, 2020. "Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community," Applied Energy, Elsevier, vol. 278(C).
    4. João Abel Peças Lopes & André Guimarães Madureira & Manuel Matos & Ricardo Jorge Bessa & Vítor Monteiro & João Luiz Afonso & Sérgio F. Santos & João P. S. Catalão & Carlos Henggeler Antunes & Pedro Ma, 2020. "The future of power systems: Challenges, trends, and upcoming paradigms," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(3), May.
    5. Olamide Jogunola & Bamidele Adebisi & Kelvin Anoh & Augustine Ikpehai & Mohammad Hammoudeh & Georgina Harris & Haris Gacanin, 2018. "Distributed Adaptive Primal Algorithm for P2P-ETS over Unreliable Communication Links," Energies, MDPI, vol. 11(9), pages 1-16, September.
    6. Matteo Troncia & Marco Galici & Mario Mureddu & Emilio Ghiani & Fabrizio Pilo, 2019. "Distributed Ledger Technologies for Peer-to-Peer Local Markets in Distribution Networks," Energies, MDPI, vol. 12(17), pages 1-19, August.
    7. Wolsink, Maarten, 2020. "Distributed energy systems as common goods: Socio-political acceptance of renewables in intelligent microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    8. Le Cadre, Hélène & Jacquot, Paulin & Wan, Cheng & Alasseur, Clémence, 2020. "Peer-to-peer electricity market analysis: From variational to Generalized Nash Equilibrium," European Journal of Operational Research, Elsevier, vol. 282(2), pages 753-771.

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