Increasing photovoltaic self-consumption with game theory and blockchain

Stephant, Matthieu and Abbes, Dhaker and Hassam-Ouar, Kahina and Labrunie, Antoine and Robyns, Benoît (2020) Increasing photovoltaic self-consumption with game theory and blockchain. EAI Endorsed Transactions on Energy Web. e1. ISSN 2032-944X

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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.

Item Type: Article
Uncontrolled Keywords: Photovoltaic self-consumption, Game theory, Blockchain, Energy communities
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 22 Jul 2021 13:50
Last Modified: 22 Jul 2021 13:50

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