Increasing photovoltaic self-consumption with game theory and blockchain

• Main Authors: Matthieu Stephant, Dhaker Abbes, Kahina Hassam-Ouar, Antoine Labrunie, Benoît Robyns
• Format: Article
• Language: English
• Published: European Alliance for Innovation (EAI) 2021-07-01
• Series: EAI Endorsed Transactions on Energy Web
• Subjects: photovoltaic self-consumption; game theory; blockchain; energy communities
• Online Access: https://eudl.eu/pdf/10.4108/eai.27-10-2020.166770

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.