Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States

Watson, Jean‐Paul; Guttromson, Ross; Silva-Monroy, Cesar A.; Jeffers, Robert Fredric; Jones, Katherine; Ellison, James; Rath, Charles E.; Gearhart, Jared Lee; Jones, Dean A.; Corbet, Tom; Hanley, Charles J.; Walker, La Tonya Nicole

doi:10.2172/1177743

Cited by 130 publications

(110 citation statements)

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“…This definition is chosen here because it is currently being adopted by several key U.S. agencies involved with power grids' regulation and technology and with infrastructure resilience in general, such as the Department of Homeland Security (DHS) [37], the National Institute of Standards and Technology (NIST) [38] and, to some extent, the Department of Energy (DOE) and its associated national laboratories [39] with the clarification of differences between the PPD21 definition and reliability metrics, which are also later commented on in this paper. A very similar definition is also being considered by the U.K.…”

Section: Resilience Definitions Metrics and Modelmentioning

confidence: 99%

Quantitative Model and Metrics of Electrical Grids’ Resilience Evaluated at a Power Distribution Level

Kwasinski

2016

Energies

119

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This paper presents a framework to systematically measure and assess power grids' resilience with a focus on performance as perceived by customers at the power distribution level. The proposed framework considers an analogous measure of availability as a basic metric for resilience and defines other key resilience-related concepts and metrics, such as resistance and brittleness. This framework also provides a measurement for the degree of functional dependency of loads on power grids and demonstrates how the concepts of resilience and dependency are inherently related. It also discusses the implications of considering human-centered processes as fundamental constituting components of infrastructure systems. Thanks to its quantitative nature, the proposed resilience framework enables the creation of tools to evaluate power grids' performance as a lifeline and to assess the effects of plans for optimal electrical power infrastructure deployment and operation. The discussion is supported by practical examples and empirical records from field damage assessments conducted after recent notable natural disasters.

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Section: Resilience Definitions Metrics and Modelmentioning

confidence: 99%

Quantitative Model and Metrics of Electrical Grids’ Resilience Evaluated at a Power Distribution Level

Kwasinski

2016

Energies

119

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“…It can be quantified as loss of grid capacity in MW or number of customer affected. These values can be transformed into the amount of economical loss (i.e., in million dollars) [18].…”

Section: The Impactmentioning

confidence: 99%

Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event

2017

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Concerns about the power outages caused by extreme weather events have led the study of grid resilience. Among the grid resilience studies, this paper presents an overview to evaluate and improve grid resilience through the analysis of determinants of the impact and the grid capability. The impact is determined by the extreme weather events, grid exposure, and grid vulnerability. Whereas, the determinants of the grid capability are physical durability, operational versatility, and rehabilitation capacity. Conceptual knowledge for quantifying the impact and the grid capability is also presented. Then, some improvement strategies to reduce the impact and to improve the grid capability based on their determinants are discussed. The study of the impact and the grid capability provides a preliminary guideline to plan appropriate grid resilience improvement strategies.

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“…It shows that there are a number of shortcomings where significant factors such as time, the dependencies between performance measures or resilience potentials are ignored which leads to an incomplete view of resilience. Watson et al [10] propose to measure resilience with respect to probability and impact of adverse incidents. In a similar but more concrete approach Chanda and Srivastava [3] apply percolation theory to a topological graph model of the system and use decision making to quantify the results.…”

Section: Resilience Metric Requirementsmentioning

confidence: 99%

A cyber-physical resilience metric for smart grids

Friedberg

McLaughlin

Smith

2017

2017 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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Abstract-The need for novel smart grid technologies is often motivated by the need for more resilient power grids. While the number of technologies that claim to increase grid resilience is growing, there is a lack of widely accepted metrics to measure the resilience of smart grid installations. The design of effective resilience metrics is made difficult by the diversity of challenges and performance measures that a smart grid is subject to. This work identifies the necessary attributes for a complete and effective resilience metric and shows that previous work falls short. It then proposes a novel approach to measure resilience that focuses on the complex interdependencies between challenges and performances in smart grids.

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Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States

Cited by 130 publications

References 0 publications

Quantitative Model and Metrics of Electrical Grids’ Resilience Evaluated at a Power Distribution Level

Quantitative Model and Metrics of Electrical Grids’ Resilience Evaluated at a Power Distribution Level

Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event

A cyber-physical resilience metric for smart grids

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