Coordination Model and Digital Twins for Managing Energy Consumption and Production in a Smart Grid
Philippe Glass () and
Giovanna Di Marzo Serugendo ()
Additional contact information
Philippe Glass: Centre Universitaire d’Informatique, University of Geneva, 1205 Geneva, Switzerland
Giovanna Di Marzo Serugendo: Centre Universitaire d’Informatique, University of Geneva, 1205 Geneva, Switzerland
Energies, 2023, vol. 16, issue 22, 1-29
Abstract:
Smart grids play an important role for energy management by directly supporting the socio-ecological transition of neighbourhoods. This research provides the design of a coordination model to enable the management and exchange of electrical energy between producers and consumers at a micro-grid level. This model, which derives from the SAPERE coordination model, allows the intelligent digital twins to interact and generate services on the fly to meet different needs in real time. We have designed producer and consumer digital twins, which autonomously generate supply contracts in the form of a transaction, and supervisor digital twins, which regulate energy at the node level, managing threshold violations and proactively avoiding future threshold violations by using predictions. This coordination model allows energy exchanges in a single node and in a micro-grid structure that contains several neighbouring nodes. We have implemented and tested the platform with realistic data, based on the consumption statistics of a real household, and with real data, collected in the living-lab of “Les Vergers” located near Geneva. The results show that the combination of a coordination model and intelligent digital twins actually supports self-adaptive energy management in a smart grid. Such approaches are fundamental to develop efficient and reliable smart grids.
Keywords: smart grid; coordination model; coordination law; digital twin; tuple space; LSA; node; self-composition of services; node state; kilowatt hour (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/16/22/7629/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/22/7629/ (text/html)
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:gam:jeners:v:16:y:2023:i:22:p:7629-:d:1282483
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().