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Power system protection and resilient metrics

  • Kamshad Eshghi
  • , Brian K. Johnson
  • , Craig G. Rieger

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

26 Scopus citations

Abstract

During a real-time power system event, a system operator needs to conservatively reduce operating limits while the changing system conditions are analyzed. The time it takes to develop new operating limits could affect millions of transmission system users, especially if this event is classified by NERC as a Category D type event (extreme events resulting in the loss of two or more bulk electric system elements). Controls for the future grid must be able to perform real-time analysis, identify new reliability risks, and set new SOLs (System Operating Limit) for real-time operations. In this paper we are developing Resilience Metrics requirements that describe how systems operate at an acceptable level of normalcy despite disturbances or threats. We consider the interdependencies inherent in critical infrastructure systems and discuss some distributed resilience metrics that can be in current supervisory control and data acquisition (SCADA) to provide a level of state awareness. This level of awareness provides knowledge that can be used to characterize and reduce the risk of cascading events. A resilience power system agent is proposed that provides attributes to measure and perform this metrics.

Original languageEnglish
Title of host publicationProceedings - 2015 Resilience Week, RSW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages212-219
Number of pages8
ISBN (Electronic)9781479985944
DOIs
StatePublished - Oct 1 2015
EventResilience Week, RSW 2015 - Philadelphia, United States
Duration: Aug 18 2015Aug 20 2015

Publication series

NameProceedings - 2015 Resilience Week, RSW 2015

Conference

ConferenceResilience Week, RSW 2015
Country/TerritoryUnited States
CityPhiladelphia
Period08/18/1508/20/15

Keywords

  • Control systems
  • Measurement
  • Power system stability
  • Resilience
  • Stability analysis
  • Transient analysis

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