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Locating distribution power system fault employing Bayes theorem with subjective logic
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Prompt and effective power system restoration is essential for the minimization of downtime and cost which can get substantial rapidly after a system blackout. Most grids do not have the sensors to diagnose faults for algorithms that employ these measurements. Instead, assessment depends on customer calls that have lost power while the input of the field technician is not reflected into assessment in a formal way. This paper investigates fault location detection for service restoration based on a Distribution Automation System (DAS) with a centralized intelligence Bayesian probabilistic approach that takes into account field technician subjective opinion. The approach employs probabilistic logic and subjective logic based on evidence theory. A simplified model of distribution power system is employed to introduce new concepts that employ evidence theory with subjective and probabilistic logic to address the insufficient information.

Place, publisher, year, edition, pages
NEW YORK: IEEE, 2017. p. 130-134
Series
2017 2nd International Conference on System Reliability and Safety (ICSRS)
Keywords [en]
distribution system, fault detection, subjective logic, Bayesian methods, power outage calls, customer calls, technician opinion
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-336514DOI: 10.1109/ICSRS.2017.8272808ISI: 978-1-5386-3322-9ISBN: 978-1-5386-3322-9 (print)OAI: oai:DiVA.org:uu-336514DiVA, id: diva2:1166097
Conference
2017 2nd International Conference on System Reliability and Safety (ICSRS), Milan, Italy.
Funder
Swedish Energy AgencyAvailable from: 2017-12-14 Created: 2017-12-14 Last updated: 2018-06-08Bibliographically approved

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Uzunoglu, Bahri

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
  • en-GB
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf