About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
ew 21(34): e1

Research Article

Increasing photovoltaic self-consumption with game theory and blockchain

Download1584 downloads
Cite
BibTeX Plain Text
  • @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
Matthieu Stephant1,*, Dhaker Abbes1, Kahina Hassam-Ouar2, Antoine Labrunie3, Benoît Robyns1
  • 1: Univ. Lille, Arts et Metiers Institute of Technology, Centrale Lille, Junia, ULR 2697 - L2EP, F-59000 Lille, France
  • 2: HEI, Junia, 13 Rue de Toul, 59000, Lille, France
  • 3: Greenbirdie, 13 rue Raymond Losserand, 75014 Paris, France
*Contact email: matthieu.stephant@yncrea.fr

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.

Keywords
Photovoltaic self-consumption, Game theory, Blockchain, Energy communities
Received
2020-07-17
Accepted
2020-10-22
Published
2020-10-27
Publisher
EAI
http://dx.doi.org/10.4108/eai.27-10-2020.166770

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.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL