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Optimal Management of an Energy Community with PV and Battery-Energy-Storage Systems

Author

Listed:
  • Itxaso Aranzabal

    (Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain)

  • Julen Gomez-Cornejo

    (Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain)

  • Iraide López

    (Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain)

  • Ander Zubiria

    (CIDETEC, Basque Research and Technology Alliance (BRTA), 20018 Donostia-San Sebastián, Spain)

  • Javier Mazón

    (Department of Electrical Engineering, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain)

  • Ane Feijoo-Arostegui

    (IKERLAN, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain)

  • Haizea Gaztañaga

    (IKERLAN, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain)

Abstract

Most of current prosumer-energy-management approaches are focused on economic optimization by self-consumption maximization. Nevertheless, a lack of energy management strategies (EMS) that tackle different interaction possibilities among community-clustered solar plus battery prosumers has been detected. Furthermore, such active prosumer EMS may include participation in ancillary service markets such as automatic frequency restoration reserves (aFRR) through an optimized battery-energy storage-system (BESS) operation, as well as incorporating community-level energy management. In this study, an optimal EMS that includes aggregated aFRR-market participation of five solar plus battery prosumers participating in an energy community (EC), with the aim of reducing total costs of ownership for each individual prosumer is proposed. For its validation, different scenarios have been analyzed. The results show that the proposed EMS allows a levelized cost of energy (LCOE) reduction for all community members with respect to the base-case scenario. Moreover, the most profitable scenario for all prosumers is still the only PV.

Suggested Citation

  • Itxaso Aranzabal & Julen Gomez-Cornejo & Iraide López & Ander Zubiria & Javier Mazón & Ane Feijoo-Arostegui & Haizea Gaztañaga, 2023. "Optimal Management of an Energy Community with PV and Battery-Energy-Storage Systems," Energies, MDPI, vol. 16(2), pages 1-23, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:789-:d:1030690
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    References listed on IDEAS

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    Cited by:

    1. Georgios Yiasoumas & Lazar Berbakov & Valentina Janev & Alessandro Asmundo & Eneko Olabarrieta & Andrea Vinci & Giovanni Baglietto & George E. Georghiou, 2023. "Key Aspects and Challenges in the Implementation of Energy Communities," Energies, MDPI, vol. 16(12), pages 1-24, June.
    2. Djamila Rekioua, 2023. "Energy Storage Systems for Photovoltaic and Wind Systems: A Review," Energies, MDPI, vol. 16(9), pages 1-26, May.
    3. Pagnini, Luisa & Bracco, Stefano & Delfino, Federico & de-Simón-Martín, Miguel, 2024. "Levelized cost of electricity in renewable energy communities: Uncertainty propagation analysis," Applied Energy, Elsevier, vol. 366(C).
    4. Emanuele Cutore & Alberto Fichera & Rosaria Volpe, 2023. "A Roadmap for the Design, Operation and Monitoring of Renewable Energy Communities in Italy," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    5. Nima Narjabadifam & Javanshir Fouladvand & Mustafa Gül, 2023. "Critical Review on Community-Shared Solar—Advantages, Challenges, and Future Directions," Energies, MDPI, vol. 16(8), pages 1-25, April.

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