Towards Decentralized Models for Day-Ahead Scheduling of Energy Resources in Renewable Energy Communities

Louise Sadoine (), Martin Hupez, Zacharie Grève () and Thomas Brihaye
Additional contact information
Louise Sadoine: UMONS
Martin Hupez: UMONS
Zacharie Grève: UMONS
Thomas Brihaye: UMONS

Chapter Chapter 39 in Operations Research Proceedings 2022, 2023, pp 321-329 from Springer

Abstract: 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.

Keywords: Energy communities; Optimization; Game theory (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-24907-5_39

Ordering information: This item can be ordered from
http://www.springer.com/9783031249075

DOI: 10.1007/978-3-031-24907-5_39

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().