  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.

Systems and Control;Systems and Control