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Contribution to Book
An Operational Resilience Metric for Modern Power Distribution Systems
2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)
  • Tyler Phillips, Idaho National Laboratory
  • Timothy McJunkin, Idaho National Laboratory
  • Craig Rieger, Idaho National Laboratory
  • John Gardner, Boise State University
  • Hoda Mehrpouyan, Boise State University
Document Type
Conference Proceeding
Publication Date
1-1-2020
Abstract

The electrical power system is the backbone of our nations critical infrastructure. It has been designed to withstand single component failures based on a set of reliability metrics which have proven acceptable during normal operating conditions. However, in recent years there has been an increasing frequency of extreme weather events. Many have resulted in widespread long-term power outages, proving reliability metrics do not provide adequate energy security.

As a result, researchers have focused their efforts resilience metrics to ensure efficient operation of power systems during extreme events. A resilient system has the ability to resist, adapt, and recover from disruptions. Therefore, resilience has demonstrated itself as a promising concept for currently faced challenges in power distribution systems.

In this work, we propose an operational resilience metric for modern power distribution systems. The metric is based on the aggregation of system assets adaptive capacity in real and reactive power. This metric gives information to the magnitude and duration of a disturbance the system can withstand. We demonstrate resilience metric in a case study under normal operation and during a power contingency on a microgrid. In the future, this information can be used by operators to make more informed decisions based on system resilience in an effort to prevent power outages.

Citation Information
Tyler Phillips, Timothy McJunkin, Craig Rieger, John Gardner, et al.. "An Operational Resilience Metric for Modern Power Distribution Systems" 2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C) (2020)
Available at: http://works.bepress.com/john_gardner/23/