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Coalitional game-based gain generation and distribution for collective self-consumption in an energy community

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  • Bossu, Adrien
  • Durillon, Benoit
  • Davigny, Arnaud
  • Barry, Hervé
  • Robyns, Benoît
  • Belaïd, Fateh
  • Saudemont, Christophe

Abstract

Climate change is requiring changes in energy use. The integration of renewable energy sources into the energy mix is a viable solution for electricity generation, but their intermittence forces us to imagine new ways to consume and distribute electricity. Thus, new economic models and new organizations have to be established. Energy communities are a recent legal solution to share renewable energy among local actors. These structures facilitate the set-up of collective self-consumption operations. Collective self-consumption is an interesting tool to increase local renewable energy consumption and limit energy losses on the distribution grid. Consequently, energy communities are pursuing a dual objective: reducing energy bills and the environmental footprint of the participants. However, the distribution of gains generated through collective self-consumption is one of the main obstacles to the implementation of energy communities. An interesting possibility comes from game theory, especially from cooperative games, as solutions concepts already exist to solve this kind of problem.

Suggested Citation

  • Bossu, Adrien & Durillon, Benoit & Davigny, Arnaud & Barry, Hervé & Robyns, Benoît & Belaïd, Fateh & Saudemont, Christophe, 2024. "Coalitional game-based gain generation and distribution for collective self-consumption in an energy community," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 225(C), pages 129-147.
    • Handle: RePEc:eee:matcom:v:225:y:2024:i:c:p:129-147
    DOI: 10.1016/j.matcom.2024.04.012
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    References listed on IDEAS

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    1. Luo, Chunlin & Zhou, Xiaoyang & Lev, Benjamin, 2022. "Core, shapley value, nucleolus and nash bargaining solution: A Survey of recent developments and applications in operations management," Omega, Elsevier, vol. 110(C).
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    3. Durillon, Benoit & Salomez, Florentin & Davigny, Arnaud & Kazmierczak, Sabine & Barry, Hervé & Saudemont, Christophe & Robyns, Benoît, 2021. "Consumers’ sensitivities and preferences modelling and integration in a decentralised two levels energy supervisor," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 142-157.
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