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
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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
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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
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DOI: https://doi.org/10.1007/978-3-319-65687-8_13
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65686-1
Online ISBN: 978-3-319-65687-8
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