Probabilistic Resilience of DER Systems - A Simulation Assisted Optimization Approach

Sakshi Mishra, Katherine Anderson

Research output: Contribution to conferencePaperpeer-review

3 Scopus Citations

Abstract

Energy systems resilience is becoming increasingly important as the frequency of major grid outages increases. In this work, we present a methodology to optimize a behind-tlie-meter distributed energy resource system to sustain a site's critical loads during a pre-defined outage period. With the fixed system design, we then propose an outage simulation approach to estimate the resilience potential of the DER system to sustain loads beyond the fixed outage period - a yearlong resilience performance analysis. We apply statistical analysis to assess the system's resilience performance over a broader parametric problem space on an hourly, monthly, and yearly basis. We demonstrate the impact of the pre-defined outage period on the resilience performance through a case study. Results show that the probability of surviving a random outage of a given duration changes from 20% to 95% when the outage is modeled for a weekday instead of a weekend for the given load-profile.

Original languageAmerican English
Number of pages5
DOIs
StatePublished - 16 Feb 2021
Event2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021 - Washington, United States
Duration: 16 Feb 202118 Feb 2021

Conference

Conference2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021
Country/TerritoryUnited States
CityWashington
Period16/02/2118/02/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

NREL Publication Number

  • NREL/CP-7A40-77500

Keywords

  • DER systems
  • Energy Resilience
  • Outage Simulation
  • Renewable Energy
  • Resilience Quantification

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