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Decentralized topology inference of electrical distribution networks
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: 0000-0003-4386-3781
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-4125-1055
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2012 (English)In: 2012 IEEE PES Innovative Smart Grid Technologies, ISGT 2012, IEEE , 2012Conference 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 proposes a methodology and system architecture for inference of electrical topology using process and model data from IEC 61850 compliant substation automation devices. A system of autonomous intelligent agents communicating via an overlay network is proposed where agents are capable of communicating on the IEC 61850 station bus. An algorithm for topology inference using structured exchange and comparison of process and model information is developed. 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.
Keyword [en]
distribution networks, electrical topology, IEC 61850, multi-agent systems, overlay networks, substation automation.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-63322DOI: 10.1109/ISGT.2012.6175630Scopus ID: 2-s2.0-84860864313ISBN: 978-145772158-8 (print)OAI: oai:DiVA.org:kth-63322DiVA: diva2:481984
Conference
2012 IEEE PES Innovative Smart Grid Technologies, ISGT 2012; Washington, DC; 16 January 2012 through 20 January 2012
Funder
StandUp
Note

QC 20120126

Available from: 2012-01-23 Created: 2012-01-23 Last updated: 2016-04-25Bibliographically approved

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Honeth, NicholasZhu, KunVanfretti, LuigiNordström, Lars

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Honeth, NicholasSaleem, ArshadZhu, KunVanfretti, LuigiNordström, Lars
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CiteExportLink to record
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Citation style
  • apa
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Output format
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