Embracing Fairness in Consumer Electricity Markets using an Automatic Market Maker
Shaun Sweeney, Chris King, Mark O'Malley, Robert Shorten

TL;DR
This paper proposes a novel market design for consumer electricity markets that uses an Automatic Market Maker and a Fair Play algorithm to enhance perceived fairness and efficiency, validated through a year-long empirical study.
Contribution
It introduces a new market mechanism combining an AMM with a Fair Play algorithm to improve fairness and efficiency in energy markets.
Findings
System performs well over 1 year with 101 households
Outperforms classical market approaches in fairness and efficiency
Demonstrates practical viability of the proposed design
Abstract
As consumer flexibility becomes expected, it is important that the market mechanisms which attain that flexibility are perceived as fair. We set out fairness issues in energy markets today, and propose a market design to address them. Consumption is categorised as either essential or flexible with different prices and reliability levels for each. Prices are generated by an Automatic Market Maker (AMM) based on instantaneous scarcity and resource is allocated using a novel Fair Play algorithm. We empirically show the performance of the system over 1 year for 101 UK households and benchmark its performance against more classical approaches.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Energy Management
MethodsSparse Evolutionary Training
