Goal-Based Automation of Peer-to-Peer Electricity Trading
Jordan Murkin (),
Ruzanna Chitchyan () and
David Ferguson ()
Additional contact information
Jordan Murkin: University of Leicester
Ruzanna Chitchyan: University of Leicester
David Ferguson: EDF Energy
A chapter in From Science to Society, 2018, pp 139-151 from Springer
Abstract:
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 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-65687-8_13
Ordering information: This item can be ordered from
http://www.springer.com/9783319656878
DOI: 10.1007/978-3-319-65687-8_13
Access Statistics for this chapter
More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().