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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brooklyn Microgrid. http://brooklynmicrogrid.com/ Accessed 28 Apr 2017
DECC: Monthly Central Feed-in Tariff register statistics—Statistical data sets—GOV.UK (2016)
Flexiblepower Alliance Network: The PowerMatcher Suite. http://flexiblepower.github.io/. Accessed 28 Apr 2017
Luo Y, Itaya S, Nakamura S, Davis P (2014) Autonomous cooperative energy trading between Prosumers for Microgrid systems, 693–696
Murkin J, Chitchyan R, Byrne A (2016) Enabling peer-to-peer electricity trading. In: 4th International Conference on ICT for Sustainability
Power Ledger-A New Decentralised Energy Marketplace—Where Power meets Blockchain (2016)
Wang Y et al (2014) A game-theoretic approach to energy trading in the smart grid. IEEE Trans Smart Grid 5(3):1439–1450
Yaagoubi N, Mouftah HT (2015a) Energy trading in the smart grid: a game theoretic approach. In: IEEE SEGE, pp 1–6
Yaagoubi N, Mouftah HT (2015b) A distributed game theoretic approach to energy trading in the smart grid. In: IEEE EPEC, pp 203–208
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Murkin, J., Chitchyan, R., Ferguson, D. (2018). Goal-Based Automation of Peer-to-Peer Electricity Trading. In: Otjacques, B., Hitzelberger, P., Naumann, S., Wohlgemuth, V. (eds) From Science to Society. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-65687-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-65687-8_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65686-1
Online ISBN: 978-3-319-65687-8
eBook Packages: Business and ManagementBusiness and Management (R0)