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Goal-Based Automation of Peer-to-Peer Electricity Trading

In: From Science to Society

Author

Listed:
  • Jordan Murkin

    (University of Leicester
    EDF Energy)

  • Ruzanna Chitchyan

    (University of Leicester)

  • David Ferguson

    (EDF Energy)

Abstract

As the uptake of microgeneration increases, the centralised model of electricity generation will be significantly altered. One of the new models that is being investigated is the notion of a peer-to-peer electricity market in which prosumers can market their electricity exports to any other household. This paper investigates this model and proposes a new algorithm for automating the sale and purchase of electricity in this market aiming to optimise the market while providing increased control to householders.

Suggested Citation

  • Jordan Murkin & Ruzanna Chitchyan & David Ferguson, 2018. "Goal-Based Automation of Peer-to-Peer Electricity Trading," Progress in IS, in: Benoît Otjacques & Patrik Hitzelberger & Stefan Naumann & Volker Wohlgemuth (ed.), From Science to Society, pages 139-151, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-65687-8_13
    DOI: 10.1007/978-3-319-65687-8_13
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    Cited by:

    1. Johnson, R.C. & Mayfield, M., 2020. "The economic and environmental implications of post feed-in tariff PV on constrained low voltage networks," Applied Energy, Elsevier, vol. 279(C).
    2. An, Jongbaek & Hong, Taehoon & Lee, Minhyun, 2022. "Determining the optimal trading price of electricity for energy consumers and prosumers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).

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