Abstract
We address electricity consumption scheduling on a day-ahead basis within a community of prosumers that own renewable generation. We establish two market designs that enable coordination between members and where excess production can be valued outside or inside the community. For each, we propose two formulations: centralized schemes where the common objective is optimized, while in decentralized schemes, each member optimizes its own objective. The natural interdependence between members sharing a common network leads to the formulation of non-cooperative games. We solve some proposed models on a use-case by using distributed algorithms that ensure confidentiality.
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Acknowledgements
This work was partly supported by the Fonds de la Recherche Scientifique - FNRS under grant n\(^\circ \)T.0027.21.
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Sadoine, L., Hupez, M., De Grève, Z., Brihaye, T. (2023). Towards Decentralized Models for Day-Ahead Scheduling of Energy Resources in Renewable Energy Communities. In: Grothe, O., Nickel, S., Rebennack, S., Stein, O. (eds) Operations Research Proceedings 2022. OR 2022. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-24907-5_39
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DOI: https://doi.org/10.1007/978-3-031-24907-5_39
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