Allocation of locally generated electricity in renewable energy communities
Miguel Manuel de Villena, Samy Aittahar, Sebastien Mathieu, Ioannis, Boukas, Eric Vermeulen, Damien Ernst

TL;DR
This paper introduces a practical ex-post allocation method for local electricity generated within renewable energy communities, optimizing financial sharing among members to minimize total bills and enhance community stability.
Contribution
It proposes a novel ex-post allocation model based on optimized repartition keys, improving financial fairness and stability in renewable energy communities.
Findings
Optimized repartition keys effectively minimize total community bills.
The method enhances community stability by preventing asymmetrical cost distributions.
The approach is practical and easy to adopt in real-world energy communities.
Abstract
Local electricity markets represent a way of supplementing traditional retailing contracts for end consumers -- among these markets, the renewable energy community has gained momentum over the last few years. This paper proposes a practical and readily to be adopted modelling solution for these communities, one that allows their members to share the economic benefits derived from them. The proposed solution relies on an \emph{ex-post} allocation of the electricity that is generated within energy communities (i.e., local electricity) based on the optimisation of \emph{repartition keys}. Repartition keys are therefore optimally computed to represent the proportion of total local electricity to be allocated to each community member, and aim to minimise the sum of electricity bills of all community members. Since the optimisation takes place \emph{ex-post} the repartition keys do not modify…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Energy Management · Electric Vehicles and Infrastructure · Microgrid Control and Optimization
