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Two-stage centralised management of Local Energy Market for prosumers integration in a community-based P2P

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  • Goitia-Zabaleta, Nerea
  • Milo, Aitor
  • Gaztañaga, Haizea
  • Fernandez, Elvira

Abstract

Centrally managed or community-based P2P Energy Communities are at the forefront of the literature. A collectively shared energy configuration maximises the energy use of local generators. An interesting scenario is energy sharing when residential buildings conform to an Energy Community with tertiary buildings as prosumers. This article introduces a two-stage centralised management of the Local Energy Market for prosumers integration. In the first stage, energy planning is carried out. In this phase, the Local Energy Market Operator optimises the energy dispatch based on energy prosumers’ predictions (previously performed by each participant using Boosting Decision Tree technique) and Mixed Integer Linear Programming. In the second stage, real time management is performed, where energy storage systems (individual Batteries and Central Energy Storage System) are employed to address the energy deviations. To address the viability of the proposed management, in the first place, the community-based P2P is compared to other Low Voltage configurations (Collective Self-Consumption and Full P2P) for one-stage management, where the community-based P2P approach obtains the best results in technical, economic, and environmental aspects. Subsequently, the two-stage management is examined with local Batteries and combining local Batteries with a Central Energy Storage System. The results show that the proposal, integrating local and central storage, significantly improves a local energy community’s techno-economic and environmental indicators regarding other energy management market configurations.

Suggested Citation

  • Goitia-Zabaleta, Nerea & Milo, Aitor & Gaztañaga, Haizea & Fernandez, Elvira, 2023. "Two-stage centralised management of Local Energy Market for prosumers integration in a community-based P2P," Applied Energy, Elsevier, vol. 348(C).
  • Handle: RePEc:eee:appene:v:348:y:2023:i:c:s0306261923009169
    DOI: 10.1016/j.apenergy.2023.121552
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    Cited by:

    1. Bian, Yifan & Xie, Lirong & Ye, Jiahao & Ma, Lan & Cui, Chuanshi, 2024. "Peer-to-peer energy sharing model considering multi-objective optimal allocation of shared energy storage in a multi-microgrid system," Energy, Elsevier, vol. 288(C).
    2. López, Iraide & Goitia-Zabaleta, Nerea & Milo, Aitor & Gómez-Cornejo, Julen & Aranzabal, Itxaso & Gaztañaga, Haizea & Fernandez, Elvira, 2024. "European energy communities: Characteristics, trends, business models and legal framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).

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