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A hierarchical and modular agent-oriented framework for power systems co-simulations

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Titel: A hierarchical and modular agent-oriented framework for power systems co-simulations
Autoren: Claudia De Vizia, Alberto Macii, Edoardo Patti, Lorenzo Bottaccioli
Quelle: Energy Informatics, Vol 5, Iss S4, Pp 1-21 (2022)
Verlagsinformationen: SpringerOpen, 2022.
Publikationsjahr: 2022
Schlagwörter: Agent-oriented programming, Agent-based modelling, Co-simulation, Plug-and-play, Smart grid, Energy industries. Energy policy. Fuel trade, HD9502-9502.5
Beschreibung: Abstract During the last decades, numerous simulation tools have been proposed to faithfully reproduce the different entities of the grid together with the inclusion of new elements that make the grid “smart”. Often, these domain-specific simulators have been then coupled with co-simulation platforms to test new scenarios. In parallel, agent-oriented approaches have been introduced to test distributed control strategies and include social and behavioural aspects typical of the consumer side. Rarely, simulators of the physical systems have been coupled with these innovative techniques, especially when social and psychological aspects have been considered. In order to ease the re-usability of these simulators, avoiding re-coding everything from scratch, we propose a hierarchical and modular agent-oriented framework to test new residential strategies in the energy context. If needed, the presented work enables the user to select the desired level of details of the agent-based framework to match the corresponding physical system without effort to test very different scenarios. Moreover, it allows adding on top of the physical data, behavioural aspects. To this end, the characteristics of the framework are first introduced and then different scenarios are described to demonstrate the flexibility of the proposed work: (i) a first stand-alone scenario with two hierarchy levels, (ii) a second co-simulation scenario with a photovoltaic panel simulator and (iii) a third stand-alone scenario with three hierarchy levels. Results demonstrate the flexibility and ease of use of the framework, allowing us to compare several scenarios and couple new simulators to build a more and more complex environment. The framework is in the early stages of its development. However, thanks to its properties in the future it could be extended to include new actors, such as industries, to get the full picture.
Publikationsart: article
Dateibeschreibung: electronic resource
Sprache: English
ISSN: 2520-8942
Relation: https://doaj.org/toc/2520-8942
DOI: 10.1186/s42162-022-00244-1
Zugangs-URL: https://doaj.org/article/d841feb477fe4de1b627eb7d17f706cc
Dokumentencode: edsdoj.841feb477fe4de1b627eb7d17f706cc
Datenbank: Directory of Open Access Journals
Beschreibung
Abstract:Abstract During the last decades, numerous simulation tools have been proposed to faithfully reproduce the different entities of the grid together with the inclusion of new elements that make the grid “smart”. Often, these domain-specific simulators have been then coupled with co-simulation platforms to test new scenarios. In parallel, agent-oriented approaches have been introduced to test distributed control strategies and include social and behavioural aspects typical of the consumer side. Rarely, simulators of the physical systems have been coupled with these innovative techniques, especially when social and psychological aspects have been considered. In order to ease the re-usability of these simulators, avoiding re-coding everything from scratch, we propose a hierarchical and modular agent-oriented framework to test new residential strategies in the energy context. If needed, the presented work enables the user to select the desired level of details of the agent-based framework to match the corresponding physical system without effort to test very different scenarios. Moreover, it allows adding on top of the physical data, behavioural aspects. To this end, the characteristics of the framework are first introduced and then different scenarios are described to demonstrate the flexibility of the proposed work: (i) a first stand-alone scenario with two hierarchy levels, (ii) a second co-simulation scenario with a photovoltaic panel simulator and (iii) a third stand-alone scenario with three hierarchy levels. Results demonstrate the flexibility and ease of use of the framework, allowing us to compare several scenarios and couple new simulators to build a more and more complex environment. The framework is in the early stages of its development. However, thanks to its properties in the future it could be extended to include new actors, such as industries, to get the full picture.
ISSN:25208942
DOI:10.1186/s42162-022-00244-1