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P2PEdge: A Decentralised, Scalable P2P Architecture for Energy Trading in Real-Time

Author

Listed:
  • Jan Kalbantner

    (Information Security Group, Royal Holloway, University of London, Egham TW20 0EX, UK)

  • Konstantinos Markantonakis

    (Information Security Group, Royal Holloway, University of London, Egham TW20 0EX, UK)

  • Darren Hurley-Smith

    (Information Security Group, Royal Holloway, University of London, Egham TW20 0EX, UK)

  • Raja Naeem Akram

    (Department of Computer Science, University of Aberdeen, Aberdeen AB24 3FX, UK)

  • Benjamin Semal

    (Information Security Group, Royal Holloway, University of London, Egham TW20 0EX, UK)

Abstract

Current Peer-to-Peer (P2P) energy market models raise serious concerns regarding the confidentiality and integrity of energy consumption, trading and billing data. While Distributed Ledger Technology (DLT) systems (e.g., blockchain) have been proposed to enhance security, an attacker could damage other parts of the model, such as its infrastructure: an adversarial attacker could target the communication between entities by, e.g., eavesdropping or modifying data. The main goal of this paper is to propose a model for a decentralised P2P marketplace for trading energy, which addresses the problem of developing security and privacy-aware environments. Additionally, a Multi-Agent System (MAS) architecture is presented with a focus on security and sustainability. In order to propose a solution to DLT’s scalability issues (i.e., through transaction confirmation delays), off-chain state channels are considered for the energy negotiation and resolution processes. Additionally, a STRIDE (spoofing, tampering, repudiation, information disclosure, denial of service, elevation of privilege) security analysis is conducted within the context of the proposed model to identify potential vulnerabilities.

Suggested Citation

  • Jan Kalbantner & Konstantinos Markantonakis & Darren Hurley-Smith & Raja Naeem Akram & Benjamin Semal, 2021. "P2PEdge: A Decentralised, Scalable P2P Architecture for Energy Trading in Real-Time," Energies, MDPI, vol. 14(3), pages 1-25, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:606-:d:486738
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    References listed on IDEAS

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    Cited by:

    1. Siripha Junlakarn & Phimsupha Kokchang & Kulyos Audomvongseree, 2022. "Drivers and Challenges of Peer-to-Peer Energy Trading Development in Thailand," Energies, MDPI, vol. 15(3), pages 1-25, February.
    2. Zhang, Ying & Robu, Valentin & Cremers, Sho & Norbu, Sonam & Couraud, Benoit & Andoni, Merlinda & Flynn, David & Poor, H. Vincent, 2024. "Modelling the formation of peer-to-peer trading coalitions and prosumer participation incentives in transactive energy communities," Applied Energy, Elsevier, vol. 355(C).
    3. Gengxian Li & Chundong Wang & Huaibin Wang, 2022. "Unreachable Peers Communication Scheme in Decentralized Networks Based on Peer-to-Peer Overlay Approaches," Future Internet, MDPI, vol. 14(10), pages 1-34, October.
    4. Meritxell Domènech Monfort & César De Jesús & Natapon Wanapinit & Niklas Hartmann, 2022. "A Review of Peer-to-Peer Energy Trading with Standard Terminology Proposal and a Techno-Economic Characterisation Matrix," Energies, MDPI, vol. 15(23), pages 1-29, November.
    5. Arnob Das & Susmita Datta Peu & Md. Abdul Mannan Akanda & Abu Reza Md. Towfiqul Islam, 2023. "Peer-to-Peer Energy Trading Pricing Mechanisms: Towards a Comprehensive Analysis of Energy and Network Service Pricing (NSP) Mechanisms to Get Sustainable Enviro-Economical Energy Sector," Energies, MDPI, vol. 16(5), pages 1-27, February.

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