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Process data comparison for topology inference
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-6590-6634
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3014-5609
2012 (English)In: Power and Energy Society General Meeting, 2012 IEEE, IEEE , 2012, 6345648- p.Conference paper, Published paper (Refereed)
Abstract [en]

Power system operation and control relies heavily on models for decision making. Topology is a critical part of producing these models and maintaining up-to-date topologies of electrical distribution networks is a resource consuming and challenging task. This paper describes a methodology and system architecture for inference of electrical topology using process and model data from IEC 61850 -compliant substation automation devices. Furthermore, it examines the measurements and data handling required for such a system to work effectively. A system of autonomous intelligent agents communicating via an overlay network is described where agents are capable of communicating on the IEC 61850 station bus for collecting process data. The capabilities of structured information exchange and interfacing of substation automation devices enables plug-and-play operation of the topology inference requiring minimal prior knowledge of electrical network structure. Decentralized topology inference forms the basis for future work in operation and management of active distribution networks.

Place, publisher, year, edition, pages
IEEE , 2012. 6345648- p.
Series
IEEE Power & Energy Society General Meeting : [proceedings], ISSN 1944-9925
Keyword [en]
distribution networks, electrical topology, IEC 61850, multi.-agent systems, overlay networks, substation automation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - Energy
Identifiers
URN: urn:nbn:se:kth:diva-103212DOI: 10.1109/PESGM.2012.6345648ISI: 000312493706157Scopus ID: 2-s2.0-84870586363ISBN: 978-1-4673-2727-5 (print)OAI: oai:DiVA.org:kth-103212DiVA: diva2:558996
Conference
2012 IEEE Power and Energy Society General Meeting, PES 2012; San Diego, CA; 22 July 2012 through 26 July 2012
Funder
VinnovaStandUp
Note

QC 20130104

Available from: 2012-10-05 Created: 2012-10-05 Last updated: 2013-09-03Bibliographically approved

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Honeth, NicholasNordström, Lars

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • nn-NO
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  • Other locale
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Output format
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