<div class="csl-bib-body">
<div class="csl-entry">Knorr, F., & Frühwirth, T. (2024). Skill-Based Engineering for the Description and Mapping of Smart Grid Applications. In <i>2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)</i> (pp. 1–4). https://doi.org/10.1109/ETFA61755.2024.10711135</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/204066
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dc.description.abstract
This paper introduces an innovative approach for the description and mapping of applications in the smart grid domain.
By utilizing a skill-based engineering approach, not only flexibility and changeability will increase, but also the need for describing the same application multiple times for different grids decays.
As a first use-case, Fault Location, Isolation, and Service Restauration (FLISR) as an example application and a real-world grid in Vietnam have been chosen.
By showing how this novel approach could be applied to these two entities, its potential is demonstrated.
The IEC 61850-based approach uses a two-step procedure for the mapping.
After defining the application's requirements, a mapping algorithm can check if the application can be deployed to a specific grid.
In the second step, the actual mapping is described to deploy the application to the devices in the field automatically.
Having the requirement description, a recommender system can suggest possible adaptions to the grid in case the check fails.
en
dc.language.iso
en
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dc.subject
Smart Grid
en
dc.subject
Skill-Based Engineering
en
dc.subject
IEC 61850
en
dc.title
Skill-Based Engineering for the Description and Mapping of Smart Grid Applications
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
979-8-3503-6123-0
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dc.description.startpage
1
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dc.description.endpage
4
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)
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tuw.peerreviewed
true
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tuw.researchTopic.id
C3
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tuw.researchTopic.name
Computational System Design
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E191-03 - Forschungsbereich Automation Systems
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tuw.publisher.doi
10.1109/ETFA61755.2024.10711135
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dc.description.numberOfPages
4
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tuw.author.orcid
0000-0001-8133-4747
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tuw.event.name
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)