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Human Reliability Analysis Regarding Electric Power Grid Reliability and Resiliency

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

Abstract

Electric grid reliability and resiliency is an urgent concern with extreme and ever-increasing demands and threats placed on U.S. power grid operations. Daily, grid operators must carry out continuous maintenance and replacement requirements along with constant monitoring, adjustment, and forecasting to protect the grid and equipment from failure. Additionally, they must be prepared for abnormal and emergency events created by weather, extreme events, and abnormal or emergency situations. Idaho National Laboratory and Sandia National Laboratories collaborated on a research effort applying human reliability analysis (HRA) methods to power grid operations. Semi-structured interviews were carried out with grid utility operators from a variety of grid utilities and similar contexts to obtain greater general understanding of the grid operation experience, insight into operator mental models, and clarity regarding which aspects of operations can be improved or enhanced. Examining the experiences of grid operators, previous electrical grid power outages, and understanding potential error traps is critical to increasing the effectiveness, efficiency, and resiliency of grid operations.

Original languageEnglish
Title of host publicationProceedings of 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023
PublisherAmerican Nuclear Society
Pages830-839
Number of pages10
ISBN (Electronic)9780894487910
DOIs
StatePublished - 2023
Event13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023 - Knoxville, United States
Duration: Jul 15 2023Jul 20 2023

Publication series

NameProceedings of 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023

Conference

Conference13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023
Country/TerritoryUnited States
CityKnoxville
Period07/15/2307/20/23

Keywords

  • Grid Reliability
  • Human Reliability Analysis

INL Publication Number

  • INL/CON-23-71840
  • 151899

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