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Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach

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  • Inês F. G. Reis

    (INESC Coimbra, DEEC, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal)

  • Ivo Gonçalves

    (INESC Coimbra, DEEC, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal)

  • Marta A. R. Lopes

    (INESC Coimbra, DEEC, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal
    Polytechnic of Coimbra, ESAC, 3045-601 Coimbra, Portugal)

  • Carlos Henggeler Antunes

    (INESC Coimbra, DEEC, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal
    Department of Electrical and Computer Engineering, University of Coimbra, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal)

Abstract

Understanding to what extent the emergence of prosumers and prosumagers organized in energy communities can impact the organization and operation of power grids has been one of the major recent research avenues at the European level. In renewable-based communities aiming to reach some level of energy self-sufficiency, a key issue to be addressed is assessing how the presence of end-users playing different roles in the system (self-consuming, producing and trading, performing demand management, etc.) can influence the overall system performance. In this setting, this paper combines Distributed Artificial Intelligence and optimization approaches to assess how prosumagers and consumers pursuing different goals can influence the energy self-sufficiency of a local energy community. The residential demand is accurately modeled, and the agents’ preferences are considered in the modeling to represent a smart community. The results show that although energy community members may have conflicting individual goals, the overall system self-sufficiency can be maximized with economic benefits for all stakeholders, thus illustrating the advantages of energy communities.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:989-:d:498990
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    References listed on IDEAS

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    5. Daishi Sagawa & Kenji Tanaka & Fumiaki Ishida & Hideya Saito & Naoya Takenaga & Kosuke Saegusa, 2023. "P2P Electricity Trading Considering User Preferences for Renewable Energy and Demand-Side Shifts," Energies, MDPI, vol. 16(8), pages 1-25, April.
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    7. Paweł Dworak & Andrzej Mrozik & Agata Korzelecka-Orkisz & Adam Tański & Krzysztof Formicki, 2023. "Energy Self-Sufficiency of a Salmonids Breeding Facility in the Recirculating Aquaculture System," Energies, MDPI, vol. 16(6), pages 1-22, March.
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