PNNL

Abstract

Power systems incur considerable operational and infrastructural damages from high impact low probability events such as natural disasters. It therefore becomes imperative to quantify the impact of these disruptive events on power system performance so that adaptive actions can be effectively applied. This impact can be evaluated using resilience metrics which should be able to assess the transitions between the different phases in which a power system resides when subjected to an extreme event. Also the metrics can aid in the evaluation of the effectiveness of the power system adaptive strategies. However, challenges exist since developed metrics do not proceed with a standardized framework, and due to the vast variety of existing metrics, it becomes ambiguous for researchers and power utilities to find converging information pertinent to their work. In an effort to address this challenge, this paper provides a comprehensive review of quantitative power system resilience metrics (PSRMs) which we standardize and evaluate with diverse categorizations. The review methodology employs the Axiomatic Design Process (ADP) that utilizes the axiomatic design theory and design structure matrix to decompose resilient power system functional requirements into metric design parameters. By integrating the ADP, we provide a standard for comparison and analysis of the adequacy of reviewed quantitative metrics in power systems resilience quantification, while the categorizations aim to identify the specifications of these metrics. This aids in directing further studies towards resilience requirements that have received less literary attention. Finally, this paper presents common requirements for resilience quantification, and discusses gaps and challenges related to PSRMs as well as implications posed by these challenges.