Research Article
Increasing photovoltaic self-consumption with game theory and blockchain
@ARTICLE{10.4108/eai.27-10-2020.166770, author={Matthieu Stephant and Dhaker Abbes and Kahina Hassam-Ouar and Antoine Labrunie and Beno\"{\i}t Robyns}, title={Increasing photovoltaic self-consumption with game theory and blockchain}, journal={EAI Endorsed Transactions on Energy Web}, volume={8}, number={34}, publisher={EAI}, journal_a={EW}, year={2020}, month={10}, keywords={Photovoltaic self-consumption, Game theory, Blockchain, Energy communities}, doi={10.4108/eai.27-10-2020.166770} }- Matthieu Stephant
Dhaker Abbes
Kahina Hassam-Ouar
Antoine Labrunie
Benoît Robyns
Year: 2020
Increasing photovoltaic self-consumption with game theory and blockchain
EW
EAI
DOI: 10.4108/eai.27-10-2020.166770
Abstract
INTRODUCTION: This paper presents a distributed approach to optimise self-consumption on a local energy community containing photovoltaic generators, electric vehicles, loads and a storage system. OBJECTIVES: The goal is to maximise energy sharing between users while preserving the indivual objectives of each user. METHODS: Game theory is employed to model users’ behavior and preferences. A distributed algorithm is used to solve the optimisation problem. In addition, a physical model of the grid is built to verify if the solutions respect grid constraints. Finally, a private blockchain environnement is deployed to concretely implement this distributed framework with a smart contract. RESULTS: It is shown that the proposed approach effectively leads to an increase of self-consumption rate on the local grid. CONCLUSION: The proposed distributed framework, combining game theory and blockchain, shows real potential to improve energy sharing on energy communities.
Copyright © 2020 Matthieu Stephant et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any mediumso long as the original work is properly cited.
