Visible to the public An Operational Resilience Metric for Modern Power Distribution Systems

TitleAn Operational Resilience Metric for Modern Power Distribution Systems
Publication TypeConference Paper
Year of Publication2020
AuthorsPhillips, T., McJunkin, T., Rieger, C., Gardner, J., Mehrpouyan, H.
Conference Name2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C)
Date PublishedDec. 2020
PublisherIEEE
ISBN Number978-1-7281-8915-4
KeywordsAdaptive Capacity, Measurement, Metrics, power distribution, power system reliability, pubcrawl, resilience, security, security metrics, software quality, software reliability
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.

URLhttps://ieeexplore.ieee.org/document/9282707
DOI10.1109/QRS-C51114.2020.00065
Citation Keyphillips_operational_2020