Advertisement

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

  • Jordan MurkinEmail author
  • Ruzanna Chitchyan
  • David Ferguson
Conference paper
Part of the Progress in IS book series (PROIS)

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.

Keywords

P2P electricity trading Trading automation Goal optimisation 

References

  1. Brooklyn Microgrid. http://brooklynmicrogrid.com/ Accessed 28 Apr 2017
  2. DECC: Monthly Central Feed-in Tariff register statistics—Statistical data sets—GOV.UK (2016)Google Scholar
  3. Flexiblepower Alliance Network: The PowerMatcher Suite. http://flexiblepower.github.io/. Accessed 28 Apr 2017
  4. Luo Y, Itaya S, Nakamura S, Davis P (2014) Autonomous cooperative energy trading between Prosumers for Microgrid systems, 693–696Google Scholar
  5. Murkin J, Chitchyan R, Byrne A (2016) Enabling peer-to-peer electricity trading. In: 4th International Conference on ICT for SustainabilityGoogle Scholar
  6. Power Ledger-A New Decentralised Energy Marketplace—Where Power meets Blockchain (2016)Google Scholar
  7. Wang Y et al (2014) A game-theoretic approach to energy trading in the smart grid. IEEE Trans Smart Grid 5(3):1439–1450CrossRefGoogle Scholar
  8. Yaagoubi N, Mouftah HT (2015a) Energy trading in the smart grid: a game theoretic approach. In: IEEE SEGE, pp 1–6Google Scholar
  9. Yaagoubi N, Mouftah HT (2015b) A distributed game theoretic approach to energy trading in the smart grid. In: IEEE EPEC, pp 203–208Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Jordan Murkin
    • 1
    • 2
    Email author
  • Ruzanna Chitchyan
    • 1
  • David Ferguson
    • 2
  1. 1.Department of InformaticsUniversity of LeicesterLeicesterUK
  2. 2.EDF EnergyLondonUK

Personalised recommendations