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Autopsy on active distribution networks: A data-driven fault analysis using micro-PMU data

  • Alireza Shahsavari
  • , Mohammad Farajollahi
  • , Emma Stewart
  • , Ciaran Roberts
  • , Fady Megala
  • , Lilliana Alvarez
  • , Ed Cortez
  • , Hamed Mohsenian-Rad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

In this paper, we conduct a data-driven experimental analysis on a single-phase-to-neutral fault at a distribution grid in Riverside, CA using data from five distribution level phasor measurement units, a.k.a, Micro-PMUs. Of particular interest is to extract the time-line during the fault. With the high resolution, precision, and time synchronization of the data from Micro-PMUs, the hypothesis about optimal operation of protection devices during each period of the fault time-line is examined, followed by exploring the success of coordination between lateral fuse and main feeder recloser. Also, this paper studies the transient effect of fault on the load-level as well as feeder-level. In addition, the response of inverter based resources to fault, specifically to islanding, is observed and the miscoordination between anti-islanding protection of PV inverters and the feeder recloser is deduced. Finally, the effect of the fault on outlying area feeder-level and customer-level is investigated. This paper takes a first step in using micro-PMU data to conducting a detailed analysis, an autopsy, of how different voltage levels are affected by fault switching events in distribution systems.

Original languageEnglish
Title of host publication2017 North American Power Symposium, NAPS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538626993
DOIs
StatePublished - Nov 13 2017
Externally publishedYes
Event2017 North American Power Symposium, NAPS 2017 - Morgantown, United States
Duration: Sep 17 2017Sep 19 2017

Publication series

Name2017 North American Power Symposium, NAPS 2017

Conference

Conference2017 North American Power Symposium, NAPS 2017
Country/TerritoryUnited States
CityMorgantown
Period09/17/1709/19/17

Keywords

  • active distribution network
  • Data-driven analysis
  • fault analysis
  • micro-PMU
  • solar generation
  • synchrophasor data

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