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Optimal Scheduling of Controllable Resources in Energy Communities: An Overview of the Optimization Approaches

Author

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  • Emely Cruz-De-Jesús

    (AICIA (Andalusian Association for Research and Industrial Cooperation), 41092 Seville, Spain)

  • Jose L. Martínez-Ramos

    (Department of Electrical Engineering, Universidad de Sevilla, 41092 Seville, Spain)

  • Alejandro Marano-Marcolini

    (Department of Electrical Engineering, Universidad de Sevilla, 41092 Seville, Spain)

Abstract

In recent years, there has been a growing interest in the study of energy communities. This new definition refers to a community sharing energy resources of different types to meet its needs and reduce the associated costs. Optimization is one of the most widely used techniques for scheduling the operation of an energy community. In this study, we extensively reviewed the mathematical models used depending on the objectives and constraints considered. The models were also classified according to whether they address uncertainty and the inclusion of flexibility constraints. The main contribution of this study is the analysis of the most recent research on the mathematical formulation of optimization models for optimal scheduling of resources in energy communities. The results show that the most commonly used objectives are profit maximization and cost minimization. Additionally, in almost all cases, photovoltaic generation is one of the main energy sources. Electricity prices, renewable generation, and energy demand are sources of uncertainty that have been modeled using stochastic and robust optimization. Flexibility services using demand response are often modeled using interruptible loads and shiftable loads. There is still considerable room for further research on the distribution of benefits among the participants of the energy community and the provision of flexibility services to the electricity grid.

Suggested Citation

  • Emely Cruz-De-Jesús & Jose L. Martínez-Ramos & Alejandro Marano-Marcolini, 2022. "Optimal Scheduling of Controllable Resources in Energy Communities: An Overview of the Optimization Approaches," Energies, MDPI, vol. 16(1), pages 1-15, December.
  • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:101-:d:1010944
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    References listed on IDEAS

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    1. Simoiu, Mircea Stefan & Fagarasan, Ioana & Ploix, Stéphane & Calofir, Vasile, 2022. "Modeling the energy community members’ willingness to change their behaviour with multi-agent systems: A stochastic approach," Renewable Energy, Elsevier, vol. 194(C), pages 1233-1246.
    2. Gjorgievski, Vladimir Z. & Cundeva, Snezana & Georghiou, George E., 2021. "Social arrangements, technical designs and impacts of energy communities: A review," Renewable Energy, Elsevier, vol. 169(C), pages 1138-1156.
    3. Rosato, Antonello & Panella, Massimo & Andreotti, Amedeo & Mohammed, Osama A. & Araneo, Rodolfo, 2021. "Two-stage dynamic management in energy communities using a decision system based on elastic net regularization," Applied Energy, Elsevier, vol. 291(C).
    4. Adamantios G. Papatsounis & Pantelis N. Botsaris & Stefanos Katsavounis, 2022. "Thermal/Cooling Energy on Local Energy Communities: A Critical Review," Energies, MDPI, vol. 15(3), pages 1-20, February.
    5. Álvaro Manso-Burgos & David Ribó-Pérez & Manuel Alcázar-Ortega & Tomás Gómez-Navarro, 2021. "Local Energy Communities in Spain: Economic Implications of the New Tariff and Variable Coefficients," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    6. Giacomo Talluri & Gabriele Maria Lozito & Francesco Grasso & Carlos Iturrino Garcia & Antonio Luchetta, 2021. "Optimal Battery Energy Storage System Scheduling within Renewable Energy Communities," Energies, MDPI, vol. 14(24), pages 1-23, December.
    7. Urmila Diwekar, 2008. "Introduction to Applied Optimization," Springer Optimization and Its Applications, Springer, number 978-0-387-76635-5, June.
    8. Juan M. Morales & Antonio J. Conejo & Henrik Madsen & Pierre Pinson & Marco Zugno, 2014. "Integrating Renewables in Electricity Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4614-9411-9, April.
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    Cited by:

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    2. 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.

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