Resiliency-Driven Proactive Distribution System Reconfiguration With Synchrophasor Data

Shikhar Pandey, Sayonsom Chanda, Anurag Srivastava, Rob Hovsapian

Research output: Contribution to journalArticlepeer-review

51 Scopus Citations

Abstract

Measuring and enabling resiliency of electric distribution systems with increasing weather and cyber events are important. Some of the extreme events (e.g. Earthquakes, Hurricanes) and associated paths are predicted and monitored closely in advance and allow to take pre-event proactive control actions. The Distribution Phasor Measurement Units (D-PMUs) provide new opportunities and supporting such proactive actions. A synchrophasor based resiliency driven pre-event reconfiguration can ensure minimizing impact of the expected event on the power distribution system and associated performance. However, the D-PMUs will also face challenges in terms of data quality similar to the transmission PMUs. The focus of this paper is to provide data mining approaches for anomaly detection in D-PMUs and proposing resiliency-driven pre-event reconfiguration with islanding as a proactive mechanisms to minimize the impact of adverse events on system using processed synchrophasors data. Results are validated for real industrial feeders and test cases with satisfactory response.

Original languageAmerican English
Article number8966262
Pages (from-to)2748-2758
Number of pages11
JournalIEEE Transactions on Power Systems
Volume35
Issue number4
DOIs
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 1969-2012 IEEE.

NREL Publication Number

  • NREL/JA-5C00-78093

Keywords

  • controlled islanding
  • D-PMU
  • data-quality
  • PMU
  • reconfiguration
  • Resiliency
  • resiliency metric
  • RTDS

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