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A multi-agent system approach to exploit demand-side flexibility in an energy community

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  • Reis, Inês F.G.
  • Gonçalves, Ivo
  • Lopes, Marta A.R.
  • Antunes, Carlos Henggeler

Abstract

Energy communities are gaining momentum at the European level as promoters of local and decentralized energy generation, storage, management and trading. Research around these initiatives has been mostly focused on the residential sector. However, communities' self-sufficiency can be further enhanced by synergistically exploiting the demand flexibility of non-residential users. This paper proposes a multiagent system approach in which optimization methods are embedded into the agents’ architecture to operationalize how energy communities can benefit from having members with different and complementary energy consumption/management profiles. Community self-sufficiency is analyzed in different scenarios and the economic benefits to different community members are presented.

Suggested Citation

  • Reis, Inês F.G. & Gonçalves, Ivo & Lopes, Marta A.R. & Antunes, Carlos Henggeler, 2020. "A multi-agent system approach to exploit demand-side flexibility in an energy community," Utilities Policy, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:juipol:v:67:y:2020:i:c:s0957178720301089
    DOI: 10.1016/j.jup.2020.101114
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Sebastian Hoffmann & Fabian Adelt & Johannes Weyer, 2020. "Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection," Energies, MDPI, vol. 13(24), pages 1-26, December.
    2. Reis, Inês F.G. & Gonçalves, Ivo & Lopes, Marta A.R. & Antunes, Carlos Henggeler, 2022. "Towards inclusive community-based energy markets: A multiagent framework," Applied Energy, Elsevier, vol. 307(C).
    3. Sayfutdinov, Timur & Patsios, Charalampos & Greenwood, David & Peker, Meltem & Sarantakos, Ilias, 2022. "Optimization-based modelling and game-theoretic framework for techno-economic analysis of demand-side flexibility: A real case study," Applied Energy, Elsevier, vol. 321(C).
    4. Inês F. G. Reis & Ivo Gonçalves & Marta A. R. Lopes & Carlos Henggeler Antunes, 2021. "Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach," Energies, MDPI, vol. 14(4), pages 1-32, February.
    5. Josh Eichman & Marc Torrecillas Castelló & Cristina Corchero, 2022. "Reviewing and Exploring the Qualitative Impacts That Different Market and Regulatory Measures Can Have on Encouraging Energy Communities Based on Their Organizational Structure," Energies, MDPI, vol. 15(6), pages 1-19, March.
    6. Volpato, Gabriele & Carraro, Gianluca & Cont, Marco & Danieli, Piero & Rech, Sergio & Lazzaretto, Andrea, 2022. "General guidelines for the optimal economic aggregation of prosumers in energy communities," Energy, Elsevier, vol. 258(C).
    7. Madler, Jochen & Harding, Sebastian & Weibelzahl, Martin, 2023. "A multi-agent model of urban microgrids: Assessing the effects of energy-market shocks using real-world data," Applied Energy, Elsevier, vol. 343(C).
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    9. Viet-Cuong Trieu & Fu-Ren Lin, 2022. "The Development of a Service System for Facilitating Food Resource Allocation and Service Exchange," Sustainability, MDPI, vol. 14(19), pages 1-29, September.

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