Microgrid Resilience: A Holistic and Context-Aware Resilience Metric

TL;DR

This paper introduces a comprehensive, context-aware resilience metric for microgrids that accounts for geographical and cyber risk factors, aiming to better quantify their ability to withstand and recover from high-impact events.

Contribution

It proposes a novel, site-specific resilience metric for microgrids that captures multi-dimensional factors influencing their robustness and recovery capabilities.

Findings

The metric effectively quantifies microgrid resilience in various scenarios.

Case study demonstrates the metric's practical applicability.

Highlights the importance of location and cyber risk in resilience assessment.

Abstract

Microgrids present an effective solution for the coordinated deployment of various distributed energy resources and furthermore provide myriad additional benefits such as resilience, decreased carbon footprint, and reliability to energy consumers and the energy system as a whole. Boosting the resilience of distribution systems is another major benefit of microgrids. This is because they can also serve as a backup power source when the utility grid operations are interrupted due to either high-probability low-impact events like a component failure or low-probability high-impact events - be it a natural disaster or a planned cyberattack. However, the degree to which any particular system can defend, adapt, and restore normal operation depends on various factors including the type and severity of events to which a microgrid is subjected. These factors, in turn, are dependent on the geographical location of the deployed microgrid as well as the cyber risk profile of the site where the microgrid is operating. Therefore, in this work, we attempt to capture this multi-dimensional interplay of various factors in quantifying the ability of the microgrid to be resilient in these varying aspects. This paper, thus, proposes a customized site-specific quantification of the resilience strength for the individual microgrid capability to absorb, restore, and adapt to the changing circumstances for sustaining the critical load when a low-probability high-impact event occurs - termed as - context-aware resilience metric. We also present a case study to illustrate the key elements of our integrated analytical approach.