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A two-stage management strategy for the optimal operation and billing in an energy community with collective self-consumption

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  • Mustika, Alyssa Diva
  • Rigo-Mariani, Rémy
  • Debusschere, Vincent
  • Pachurka, Amaury

Abstract

This study fits in the context of collective self-consumption in energy communities, where participants within a given area can exchange and trade energy among themselves. We propose a two-stage approach that decouples the operational phase, i.e., the energy management strategy (EMS), from the settlement where the energy is contractually allocated to the participants. In particular, this decoupled approach allows testing and comparing different methods for the EMS on one side and for the energy sharing on the other, for a total of forty different investigated combinations. Rule-based and optimization-based approaches are considered, allowing each community to compare and select the most appropriate management in line with its specification. The numerical results obtained on a real test case in France show 11.7% saving on the global community bill compared to a case in which the members are not organized as a community. Also, specific allocation mechanisms proposed in this paper allow uniforming the savings in terms of individual bill reduction, which can further encourage end-users to join a community.

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  • Mustika, Alyssa Diva & Rigo-Mariani, Rémy & Debusschere, Vincent & Pachurka, Amaury, 2022. "A two-stage management strategy for the optimal operation and billing in an energy community with collective self-consumption," Applied Energy, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:appene:v:310:y:2022:i:c:s0306261921017050
    DOI: 10.1016/j.apenergy.2021.118484
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    Cited by:

    1. Zhao, Naixin & Gu, Wenbo & Zheng, Zipeng & Ma, Tao, 2023. "Multi-objective bi-level planning of the integrated energy system considering uncertain user loads and carbon emission during the equipment manufacturing process," Renewable Energy, Elsevier, vol. 216(C).
    2. Giovanni Brusco & Daniele Menniti & Anna Pinnarelli & Nicola Sorrentino & Pasquale Vizza, 2023. "Power Cloud Framework for Prosumer Aggregation to Unlock End-User Flexibility," Energies, MDPI, vol. 16(20), pages 1-17, October.
    3. Ahmed Abouaiana & Alessandra Battisti, 2022. "Multifunction Land Use to Promote Energy Communities in Mediterranean Region: Cases of Egypt and Italy," Land, MDPI, vol. 11(5), pages 1-24, April.
    4. Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Amir Mansouri, Seyed & Jurado, Francisco, 2022. "Day-ahead scheduling of 100% isolated communities under uncertainties through a novel stochastic-robust model," Applied Energy, Elsevier, vol. 328(C).
    5. María Victoria Gasca & Rémy Rigo-Mariani & Vincent Debusschere & Yousra Sidqi & Cédric Clastres, 2023. "Costs Allocation in Energy Communities: An Insight on Users’ Preferences," Post-Print hal-04431478, HAL.
    6. D'Adamo, Idiano & Mammetti, Marco & Ottaviani, Dario & Ozturk, Ilhan, 2023. "Photovoltaic systems and sustainable communities: New social models for ecological transition. The impact of incentive policies in profitability analyses," Renewable Energy, Elsevier, vol. 202(C), pages 1291-1304.
    7. Tostado-Véliz, Marcos & Jordehi, Ahmad Rezaee & Mansouri, Seyed Amir & Jurado, Francisco, 2023. "A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots," Energy, Elsevier, vol. 263(PD).
    8. Li, Na & Okur, Özge, 2023. "Economic analysis of energy communities: Investment options and cost allocation," Applied Energy, Elsevier, vol. 336(C).
    9. Alyssa Diva Mustika & Rémy Rigo-Mariani & Vincent Debusschere & Amaury Pachurka, 2022. "New Members Selection for the Expansion of Energy Communities," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    10. Gjorgievski, Vladimir Z. & Velkovski, Bodan & Francesco Demetrio, Minuto & Cundeva, Snezana & Markovska, Natasa, 2023. "Energy sharing in European renewable energy communities: Impact of regulated charges," Energy, Elsevier, vol. 281(C).

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