Towards holistic power distribution system validation and testing—an overview and discussion of different possibilities View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-02

AUTHORS

Thomas Strasser, Filip Pröstl Andrén, Georg Lauss, Roland Bründlinger, Helfried Brunner, Cyndi Moyo, Christian Seitl, Sebastian Rohjans, Sebastian Lehnhoff, Peter Palensky, Panos Kotsampopoulos, Nikos Hatziargyriou, Gunter Arnold, Wolfram Heckmann, Erik Jong, Maurizio Verga, Giorgio Franchioni, Luciano Martini, Anna Kosek, Oliver Gehrke, Henrik Bindner, Federico Coffele, Graeme Burt, Mihai Calin, Emilio Rodriguez-Seco

ABSTRACT

Renewable energy sources are key enablers to decrease greenhouse gas emissions and to cope with the anthropogenic global warming. Their intermittent behaviour and limited storage capabilities present challenges to power system operators in maintaining the high level of power quality and reliability. However, the increased availability of advanced automation and communication technologies has provided new intelligent solutions to face these challenges. Previous work has presented various new methods to operate highly interconnected power grids with corresponding components in a more effective way. As a consequence of these developments the traditional power system is transformed into a cyber-physical system, a smart grid. Previous and ongoing research activities have mainly focused on validating certain aspects of smart grids, but until now no integrated approach for analysing and evaluating complex configurations in a cyber-physical systems manner is available. This paper tackles this issue and addresses system validation approaches for smart grids. Different approaches for different stages in the design, development, and roll-out phase of smart grid solutions and components are discussed. Finally, future research directions are analysed. More... »

PAGES

71-77

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00502-016-0453-3

DOI

http://dx.doi.org/10.1007/s00502-016-0453-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045466313


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00502-016-0453-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00502-016-0453-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00502-016-0453-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00502-016-0453-3'


 

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